Triple

T14426468
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Olney E357709 entity
Predicate locationOfSigning P441 FINISHED
Object Olney E830749 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: Olney | Statement: [Treaty of Olney, locationOfSigning, Olney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olney
Context triple: [Treaty of Olney, locationOfSigning, Olney]
  • A. Olney chosen
    Olney is a residential neighborhood in North Philadelphia known for its diverse population and urban character.
  • B. Olney
    Olney is a historic market town in southeast England, known for its traditional pancake race and association with the poet William Cowper.
  • C. Olney
    Olney is an English-origin surname borne by various notable individuals, including figures in law, politics, and the arts.
  • D. Olney Manor Park
    Olney Manor Park is a public recreational park in Olney, Maryland, featuring sports facilities, open green spaces, and community amenities for local residents.
  • E. Oakington
    Oakington is a village in Cambridgeshire, England, known for its rural character and proximity to the city of Cambridge.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de911398f08190be85bc0a8bef6b1b completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64898c088190ab4eef32ca4f5ed6 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:18 a.m.