Triple

T6794779
Position Surface form Disambiguated ID Type / Status
Subject Eco-Power Stadium E156026 entity
Predicate hasStand P6313 FINISHED
Object North Stand E567987 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: North Stand | Statement: [Eco-Power Stadium, hasStand, North Stand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Stand
Context triple: [Eco-Power Stadium, hasStand, North Stand]
  • A. North Stand chosen
    North Stand is a spectator seating section located behind one of the goals at Keepmoat Stadium, home of Doncaster Rovers FC.
  • B. North Stand
    North Stand was a spectator stand at Maine Road, the former home stadium of Manchester City Football Club.
  • C. North Stand
    The North Stand is one of the main spectator sections of Dublin’s Aviva Stadium, providing tiered seating behind one of the goals for rugby and football matches.
  • D. North Stand
    North Stand is a spectator seating section within the Madejski Stadium, home to Reading Football Club in Reading, England.
  • E. North Stand
    North Stand is a spectator seating section at New Douglas Park, the home stadium of Hamilton Academical FC in Scotland.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c59648819081736d27d52d957f completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a9354448190890846c2e84bb22c completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.