Triple

T3164108
Position Surface form Disambiguated ID Type / Status
Subject Manchester E66169 entity
Predicate hasStadium P105 FINISHED
Object Etihad Stadium E134146 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: Etihad Stadium | Statement: [Manchester, hasStadium, Etihad Stadium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etihad Stadium
Context triple: [Manchester, hasStadium, Etihad Stadium]
  • A. Etihad Stadium chosen
    Etihad Stadium is a major football stadium in Manchester, England, best known as the home ground of Manchester City Football Club.
  • B. Al Janoub Stadium
    Al Janoub Stadium is a modern, dhow-inspired football venue in Al Wakrah, Qatar, built for the 2022 FIFA World Cup and designed by architect Zaha Hadid.
  • C. Zabeel Stadium
    Zabeel Stadium is a football venue in Dubai, United Arab Emirates, best known as the home ground of Al Wasl FC.
  • D. King Fahd International Stadium
    King Fahd International Stadium is a major multi-purpose football venue in Riyadh, Saudi Arabia, known for hosting top domestic and international matches and serving as the home ground of leading Saudi club Al Hilal SFC.
  • E. Ahmed bin Ali Stadium
    Ahmed bin Ali Stadium is a modern football venue in Al Rayyan, Qatar, that was rebuilt and used as one of the host stadiums for the 2022 FIFA World Cup.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61ba98881909106951c8ceeb959 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235d823948190b1fbe0dbf303133d completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.