Triple

T19738852
Position Surface form Disambiguated ID Type / Status
Subject Bradford County E474058 entity
Predicate hasLargestSettlement P235 FINISHED
Object Sayre NE NERFINISHED

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: Sayre | Statement: [Bradford County, hasLargestSettlement, Sayre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sayre
Context triple: [Bradford County, hasLargestSettlement, Sayre]
  • A. Sayre chosen
    Sayre is a small borough in northern Pennsylvania known historically as a railroad town and regional service center near the New York state border.
  • B. Fort Smith
    Fort Smith is a small town in the Northwest Territories of Canada, located near the Alberta border and known as a gateway to Wood Buffalo National Park and the Slave River rapids.
  • C. Ruston
    Ruston is a surname most notably associated with Joseph Victor Anthony Ruston, better known as the actor and humanitarian Audrey Hepburn’s father.
  • D. Searcy
    Searcy is a surname of English origin borne by various individuals, including American actor Nick Searcy.
  • E. Worthen
    Worthen is a surname and place name of English origin that appears as a variant of the name Worthington.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515f6efc8190a3da113847464399 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.