Triple

T22564223
Position Surface form Disambiguated ID Type / Status
Subject FC Assen E557899 entity
Predicate hasAbbreviation P43 FINISHED
Object F.C. Assen NE NERFINISHED

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: F.C. Assen | Statement: [FC Assen, hasAbbreviation, F.C. Assen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F.C. Assen
Context triple: [FC Assen, hasAbbreviation, F.C. Assen]
  • A. FC Assen chosen
    FC Assen is a Dutch football club based in the city of Assen in the Netherlands.
  • B. RKC Waalwijk
    RKC Waalwijk is a Dutch professional football club that competes in the national league system and is based in the town of Waalwijk in the Netherlands.
  • C. SV Apeldoorn
    SV Apeldoorn is a Dutch sports club based in the city of Apeldoorn, primarily known for its football activities.
  • D. FC Eindhoven
    FC Eindhoven is a Dutch professional football club from Eindhoven that competes in the country’s league system and shares a historic city rivalry with PSV Eindhoven.
  • E. FC Emmen
    FC Emmen is a professional Dutch football club based in the town of Emmen, known for competing in the country's top two league divisions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fa8d8388190856198547d56dce6 completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.