Triple

T855923
Position Surface form Disambiguated ID Type / Status
Subject Auckland E18491 entity
Predicate hasLandmark P105 FINISHED
Object Eden Park E47778 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: Eden Park | Statement: [Auckland, hasLandmark, Eden Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eden Park
Context triple: [Auckland, hasLandmark, Eden Park]
  • A. Eden Park chosen
    Eden Park is New Zealand’s most famous rugby stadium, located in Auckland and renowned as the primary venue for the national team, the All Blacks.
  • B. Hampden Park
    Hampden Park is Scotland’s national football stadium in Glasgow, renowned for hosting major domestic and international matches and historic cup finals.
  • C. Bayliss Park
    Bayliss Park is a historic central public park and community gathering space located in downtown Council Bluffs, Iowa.
  • D. Windsor Park
    Windsor Park is a major football stadium in Belfast, Northern Ireland, best known as the home ground of Linfield FC and the Northern Ireland national team.
  • E. Edgeley Park
    Edgeley Park is a historic football stadium in Stockport, England, best known as the long-time home ground of Stockport County FC.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac3c172481908ed164ee1579ec28 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a93398a6948190981e932178aee6b9 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:39 p.m.