Triple

T6917233
Position Surface form Disambiguated ID Type / Status
Subject Delaware County, New York E160091 entity
Predicate seat P75 FINISHED
Object Delhi, New York
Delhi, New York is a small village in the Catskill region that serves as the administrative and commercial hub of Delaware County.
 E629683 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: Delhi, New York | Statement: [Delaware County, New York, seat, Delhi, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Delhi, New York
Context triple: [Delaware County, New York, seat, Delhi, New York]
  • A. Washington, New York
    Washington, New York is a rural town in Dutchess County known for its historic hamlet of Millbrook, scenic landscapes, and equestrian and agricultural heritage.
  • B. Jones New York
    Jones New York is an American women’s apparel brand known for its classic, career-focused and ready-to-wear clothing.
  • C. New York City
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • D. New York-New York
    New York-New York is a New York City–themed hotel and casino located on the Las Vegas Strip, known for its replica skyline and entertainment offerings.
  • E. New York
    New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
  • 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: Delhi, New York
Triple: [Delaware County, New York, seat, Delhi, New York]
Generated description
Delhi, New York is a small village in the Catskill region that serves as the administrative and commercial hub of Delaware County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Delhi, New York
Target entity description: Delhi, New York is a small village in the Catskill region that serves as the administrative and commercial hub of Delaware County.
  • A. Washington, New York
    Washington, New York is a rural town in Dutchess County known for its historic hamlet of Millbrook, scenic landscapes, and equestrian and agricultural heritage.
  • B. Jones New York
    Jones New York is an American women’s apparel brand known for its classic, career-focused and ready-to-wear clothing.
  • C. New York City
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • D. New York-New York
    New York-New York is a New York City–themed hotel and casino located on the Las Vegas Strip, known for its replica skyline and entertainment offerings.
  • E. New York
    New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e034cc81908f1e8f31b055e119 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7512b39b081908370c43ed3d65829 completed March 28, 2026, 3:55 a.m.
NEDg Description generation batch_69c7523737e48190b2ad3e7bea02878d completed March 28, 2026, 3:59 a.m.
NED2 Entity disambiguation (via description) batch_69c752eb3e1c8190bad35727e573c41f completed March 28, 2026, 4:02 a.m.
Created at: March 27, 2026, 2:26 p.m.