Triple

T6633664
Position Surface form Disambiguated ID Type / Status
Subject Arsenal Museum E150389 entity
Predicate relatedTo P37 FINISHED
Object Arsenal Football Club shop E150390 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: Arsenal Football Club shop | Statement: [Arsenal Museum, relatedTo, Arsenal Football Club shop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arsenal Football Club shop
Context triple: [Arsenal Museum, relatedTo, Arsenal Football Club shop]
  • A. Arsenal store chosen
    The Arsenal store is the official retail megastore for Arsenal Football Club, offering team merchandise, kits, and memorabilia to fans.
  • B. Chelsea FC Megastore
    The Chelsea FC Megastore is the official flagship retail store for Chelsea Football Club, offering a wide range of team merchandise, kits, and memorabilia for supporters.
  • C. Arsenal museum
    The Arsenal museum is a dedicated exhibition space celebrating the history, achievements, and memorabilia of Arsenal Football Club.
  • D. Arsenal Holdings plc
    Arsenal Holdings plc is the parent company of Arsenal Football Club, overseeing the business and commercial operations of the Premier League team.
  • E. Arsenalna
    Arsenalna is a Kyiv Metro station best known for being one of the deepest underground metro stations in the world.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afca8f0c819094a1989360cf58b6 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4518f4881909c0a56df993d2af6 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.