Triple

T14251652
Position Surface form Disambiguated ID Type / Status
Subject Millard Powers Fillmore E353281 entity
Predicate placeOfBirth P1 FINISHED
Object Aurora, New York E415537 NE FINISHED

How this triple was built (2 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: Aurora, New York | Statement: [Millard Powers Fillmore, placeOfBirth, Aurora, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurora, New York
Context triple: [Millard Powers Fillmore, placeOfBirth, Aurora, New York]
  • A. Aurora, New York chosen
    Aurora, New York is a small historic village in the Finger Lakes region known for its scenic lakeside setting and as the home of Wells College.
  • B. 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.
  • C. Rochester, New York
    Rochester, New York is a major city in western New York State known for its industrial history, universities, and cultural institutions along the Genesee River.
  • D. Oswego, New York
    Oswego, New York is a small port city on the southeastern shore of Lake Ontario known for its maritime history and heavy lake-effect snowfall.
  • E. Scio, New York
    Scio, New York is a small rural town in Allegany County known as the birthplace of Medal of Honor recipient Jason Dunham.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6296f9d0819086f62f525d07eb12 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd647b37a8819095fe0bb62e0373fb completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:08 a.m.