Triple

T6899263
Position Surface form Disambiguated ID Type / Status
Subject People Make Glasgow E159451 entity
Predicate region P40 FINISHED
Object Glasgow City E6865 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: Glasgow City | Statement: [People Make Glasgow, region, Glasgow City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glasgow City
Context triple: [People Make Glasgow, region, Glasgow City]
  • A. Glasgow City chosen
    Glasgow City is Scotland’s largest urban area and a major cultural, economic, and educational hub centered on the River Clyde in the country’s west.
  • B. Glasgow City F.C.
    Glasgow City F.C. is a leading Scottish women's football club, renowned for its domestic dominance and regular participation in European competitions.
  • C. Celtic F.C. Women
    Celtic F.C. Women is the professional women's football team affiliated with Celtic Football Club, competing in Scotland's top-tier women's league.
  • D. Ayr Ladies
    Ayr Ladies is the women's rugby team associated with Ayr Rugby Football Club, competing in Scottish women's rugby competitions.
  • E. Rangers W.F.C.
    Rangers W.F.C. is the women's football team associated with Scottish club Rangers F.C., competing in the top tier of women's football 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d95f26a08190ac9a5068433ef603 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748eb23888190bca6e42dc03ab31b completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:24 p.m.