Triple
T7605304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Beacon Park |
E180087
|
entity |
| Predicate | hasTrail |
P3625
|
FINISHED |
| Object |
Casino Trail
Casino Trail is a popular hiking route on Mount Beacon in New York’s Hudson Highlands, known for its steep climb, scenic views, and access to historic ruins near the summit.
|
E676324
|
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: Casino Trail | Statement: [Mount Beacon Park, hasTrail, Casino Trail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casino Trail Context triple: [Mount Beacon Park, hasTrail, Casino Trail]
-
A.
Silver City
Silver City is the nickname of Meriden, Connecticut, historically known for its prominent silver manufacturing industry.
-
B.
Silver City
Silver City is a common nickname for Aberdeen, a major port city in northeast Scotland known historically for its distinctive gray granite architecture.
-
C.
Silver City
Silver City is the popular nickname of Cuttack, a historic and culturally significant city in the Indian state of Odisha.
-
D.
Silver City
Silver City is a historic Nevada mining town known for its role in the Comstock Lode silver boom of the 19th century.
-
E.
Silver City
Silver City is a nickname for Taunton, Massachusetts, reflecting its historic prominence in the silver manufacturing industry.
- 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: Casino Trail Triple: [Mount Beacon Park, hasTrail, Casino Trail]
Generated description
Casino Trail is a popular hiking route on Mount Beacon in New York’s Hudson Highlands, known for its steep climb, scenic views, and access to historic ruins near the summit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Casino Trail Target entity description: Casino Trail is a popular hiking route on Mount Beacon in New York’s Hudson Highlands, known for its steep climb, scenic views, and access to historic ruins near the summit.
-
A.
Silver City
Silver City is the nickname of Meriden, Connecticut, historically known for its prominent silver manufacturing industry.
-
B.
Silver City
Silver City is a common nickname for Aberdeen, a major port city in northeast Scotland known historically for its distinctive gray granite architecture.
-
C.
Silver City
Silver City is the popular nickname of Cuttack, a historic and culturally significant city in the Indian state of Odisha.
-
D.
Silver City
Silver City is a nickname for Taunton, Massachusetts, reflecting its historic prominence in the silver manufacturing industry.
-
E.
Silver City
Silver City is a historic Nevada mining town known for its role in the Comstock Lode silver boom of the 19th century.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fcfcfc8190a29a0b5cd3e8927a |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86853e1fc8190b16cdf779057c804 |
completed | March 28, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_69c868fb7fe48190a1b7ab0e824e2984 |
completed | March 28, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8697782d48190a6830f91800d3505 |
completed | March 28, 2026, 11:51 p.m. |
Created at: March 27, 2026, 3:54 p.m.