Triple

T3736127
Position Surface form Disambiguated ID Type / Status
Subject Olney Transportation Center E79189 entity
Predicate neighborhood P988 FINISHED
Object Olney E155286 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: [Olney Transportation Center, neighborhood, Olney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olney
Context triple: [Olney Transportation Center, neighborhood, Olney]
  • A. Olney
    Olney is a historic market town in southeast England, known for its traditional pancake race and association with the poet William Cowper.
  • B. Olney, Maryland chosen
    Olney, Maryland is a suburban community in central Maryland known for its residential neighborhoods, good schools, and proximity to Washington, D.C.
  • C. Oakington
    Oakington is a village in Cambridgeshire, England, known for its rural character and proximity to the city of Cambridge.
  • D. Olneyville
    Olneyville is a historically industrial, working-class neighborhood in the west side of Providence, Rhode Island, known for its diverse population and ongoing urban revitalization.
  • E. Goodnestone
    Goodnestone is a small rural village and civil parish in Kent, England, known for its historic church and the nearby Goodnestone Park estate.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3b399c819091b42209925c0d8f completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db1e4cc48190bfc1078e9b06d2d9 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.