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.