Triple
T13320483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Hell Gate Salt Marsh |
E317300
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
New York City coastal resilience network
The New York City coastal resilience network is a system of natural and engineered shoreline features designed to protect the city from flooding, storm surge, and sea-level rise while enhancing coastal ecosystems.
|
E1033665
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: New York City coastal resilience network | Statement: [Little Hell Gate Salt Marsh, partOf, New York City coastal resilience network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New York City coastal resilience network Context triple: [Little Hell Gate Salt Marsh, partOf, New York City coastal resilience network]
-
A.
New York City Comprehensive Waterfront Plan
The New York City Comprehensive Waterfront Plan is a long-term planning framework that guides the use, development, and protection of the city’s extensive shoreline for recreation, resilience, ecology, and economic activity.
-
B.
Office of Resilience and Coastal Protection
The Office of Resilience and Coastal Protection is a Florida state agency division focused on safeguarding coastal communities and ecosystems from climate change impacts, sea-level rise, and other environmental threats.
-
C.
Baltimore Ecosystem Study
The Baltimore Ecosystem Study is a long-term ecological research project that examines how urbanization affects ecological processes and human–environment interactions in the Baltimore metropolitan area.
-
D.
New York City watershed lands
New York City watershed lands are protected upstate New York areas of forests, reservoirs, and surrounding terrain that supply and safeguard the city’s unfiltered drinking water.
-
E.
Integrated Coastal Area Management
Integrated Coastal Area Management is a holistic planning and governance approach that coordinates the sustainable use, conservation, and development of coastal zones by integrating environmental, social, and economic considerations across land and sea.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: New York City coastal resilience network Triple: [Little Hell Gate Salt Marsh, partOf, New York City coastal resilience network]
Generated description
The New York City coastal resilience network is a system of natural and engineered shoreline features designed to protect the city from flooding, storm surge, and sea-level rise while enhancing coastal ecosystems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: New York City coastal resilience network Target entity description: The New York City coastal resilience network is a system of natural and engineered shoreline features designed to protect the city from flooding, storm surge, and sea-level rise while enhancing coastal ecosystems.
-
A.
New York City Comprehensive Waterfront Plan
The New York City Comprehensive Waterfront Plan is a long-term planning framework that guides the use, development, and protection of the city’s extensive shoreline for recreation, resilience, ecology, and economic activity.
-
B.
Office of Resilience and Coastal Protection
The Office of Resilience and Coastal Protection is a Florida state agency division focused on safeguarding coastal communities and ecosystems from climate change impacts, sea-level rise, and other environmental threats.
-
C.
Baltimore Ecosystem Study
The Baltimore Ecosystem Study is a long-term ecological research project that examines how urbanization affects ecological processes and human–environment interactions in the Baltimore metropolitan area.
-
D.
New York City watershed lands
New York City watershed lands are protected upstate New York areas of forests, reservoirs, and surrounding terrain that supply and safeguard the city’s unfiltered drinking water.
-
E.
Integrated Coastal Area Management
Integrated Coastal Area Management is a holistic planning and governance approach that coordinates the sustainable use, conservation, and development of coastal zones by integrating environmental, social, and economic considerations across land and sea.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990faa95481908a7fd297959c062e |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716ee695c81909ffeeb0901ee66c1 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717f4d80c8190a1a95c0f2c83c563 |
completed | May 3, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718b852808190a2a0fb48424bffb0 |
completed | May 3, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:30 p.m.