Triple

T2429795
Position Surface form Disambiguated ID Type / Status
Subject Anfield E52814 entity
Predicate hasStand P6313 FINISHED
Object Main Stand E254286 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: Main Stand | Statement: [Anfield, hasStand, Main Stand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Main Stand
Context triple: [Anfield, hasStand, Main Stand]
  • A. Main Stand
    Main Stand is the principal spectator seating structure at East End Park, providing covered views of the football pitch and housing key stadium facilities.
  • B. Main Stand chosen
    Main Stand is a principal spectator stand at Goodison Park, the historic home stadium of Everton Football Club in Liverpool, England.
  • C. North Stand
    North Stand is a spectator seating section at East End Park, the home stadium of Dunfermline Athletic Football Club in Scotland.
  • D. North Stand
    North Stand is a spectator seating section within Loftus Versfeld Stadium in Pretoria, South Africa, used for viewing rugby and football matches.
  • E. North Stand
    North Stand was a spectator stand at Maine Road, the former home stadium of Manchester City Football Club.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99fcd048190a85b95a9a8ae6d4d completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf6634a48190af82eab6b9750323 completed March 9, 2026, 12:39 p.m.
Created at: March 6, 2026, 9:43 p.m.