Triple

T7654016
Position Surface form Disambiguated ID Type / Status
Subject Embankment station E173328 entity
Predicate adjacentStationOnCircle P52795 FINISHED
Object Temple E104190 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: Temple | Statement: [Embankment station, adjacentStationOnCircle, Temple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temple
Context triple: [Embankment station, adjacentStationOnCircle, Temple]
  • A. Temple chosen
    Temple is a historic legal district in central London, renowned for housing the Inns of Court and many barristers’ chambers.
  • B. Temple
    Temple is a mid-sized city in central Texas known as a regional medical and transportation hub.
  • C. Temple
    Temple is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • D. Temple
    Temple is the athletic program of Temple University, best known for its NCAA Division I sports teams, particularly in basketball and football.
  • E. The Temple
    The Temple is a large, spiritually themed art installation at Burning Man that serves as a communal space for reflection, mourning, and symbolic release before being ceremonially burned.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c708affd048190bf21bcc1796a3c39 completed March 27, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a21b1ca881908ee73a418d4069a7 completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:59 p.m.