Triple

T16338263
Position Surface form Disambiguated ID Type / Status
Subject Dries Mertens E396730 entity
Predicate playedFor P2170 FINISHED
Object FC Utrecht E570495 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: FC Utrecht | Statement: [Dries Mertens, playedFor, FC Utrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Utrecht
Context triple: [Dries Mertens, playedFor, FC Utrecht]
  • A. FC Utrecht chosen
    FC Utrecht is a professional Dutch football club based in Utrecht that competes in the Eredivisie and is regarded as one of the country’s prominent teams.
  • B. 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.
  • C. FC Dordrecht
    FC Dordrecht is a professional Dutch football club based in Dordrecht that competes in the country's league system, traditionally in the Eerste Divisie.
  • D. FC Twente
    FC Twente is a professional football club from Enschede in the Netherlands, known for competing in the Eredivisie and winning the Dutch league title in 2010.
  • E. SC Heerenveen
    SC Heerenveen is a Dutch professional football club based in Heerenveen, known for competing in the Eredivisie and developing young talent.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e6338081908aa03ee3dcbe5f70 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00261b31c08190908a72bff20871be completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.