Triple

T3242198
Position Surface form Disambiguated ID Type / Status
Subject Harriman State Park (New York) E67986 entity
Predicate nearbySettlement P350 FINISHED
Object Monroe, New York
Monroe, New York is a suburban town in Orange County known for its proximity to major state parks, growing residential communities, and role as a regional commercial hub.
 E412409 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: Monroe, New York | Statement: [Harriman State Park (New York), nearbySettlement, Monroe, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monroe, New York
Context triple: [Harriman State Park (New York), nearbySettlement, Monroe, New York]
  • A. Clinton, New York
    Clinton, New York is a small village in Oneida County known for its historic charm and as the home of Hamilton College.
  • B. Monroe
    Monroe is a city in southeastern Michigan known for its location along the River Raisin and its historical significance in the War of 1812.
  • C. Monroe
    Monroe is a given name used as a first name, notably borne by actor Jackson Rathbone.
  • D. Monroe
    Monroe is a small city in North Carolina that serves as part of the greater Charlotte metropolitan area.
  • E. Monroe
    Monroe is a Chicago 'L' rapid transit station located in the Loop and served by the Chicago Transit Authority's Red Line.
  • 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: Monroe, New York
Triple: [Harriman State Park (New York), nearbySettlement, Monroe, New York]
Generated description
Monroe, New York is a suburban town in Orange County known for its proximity to major state parks, growing residential communities, and role as a regional commercial hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monroe, New York
Target entity description: Monroe, New York is a suburban town in Orange County known for its proximity to major state parks, growing residential communities, and role as a regional commercial hub.
  • A. Clinton, New York
    Clinton, New York is a small village in Oneida County known for its historic charm and as the home of Hamilton College.
  • B. Monroe
    Monroe is a small city in North Carolina that serves as part of the greater Charlotte metropolitan area.
  • C. Monroe
    Monroe is a city in southeastern Michigan known for its location along the River Raisin and its historical significance in the War of 1812.
  • D. Monroe
    Monroe is a given name used as a first name, notably borne by actor Jackson Rathbone.
  • E. Monroe
    Monroe is a Chicago 'L' rapid transit station located in the Loop and served by the Chicago Transit Authority's Red Line.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef76d908190815bb456e366ee0a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b2755c88190acc9bc70f1f3a53e completed March 14, 2026, 2:05 p.m.
NEDg Description generation batch_69b56c4c41c88190b00ab8fc43686afb completed March 14, 2026, 2:10 p.m.
NED2 Entity disambiguation (via description) batch_69b56cc2ae948190a5e13992626dd547 completed March 14, 2026, 2:12 p.m.
Created at: March 8, 2026, 3:08 p.m.