Triple

T16338261
Position Surface form Disambiguated ID Type / Status
Subject Dries Mertens E396730 entity
Predicate playedFor P2170 FINISHED
Object KAA Gent E185151 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: KAA Gent | Statement: [Dries Mertens, playedFor, KAA Gent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KAA Gent
Context triple: [Dries Mertens, playedFor, KAA Gent]
  • A. KAA Gent chosen
    KAA Gent is a Belgian professional football club based in Ghent, known for competing in the country’s top division and developing notable players such as Kevin De Bruyne.
  • B. MSK Gent
    MSK Gent is a prominent art museum in Ghent, Belgium, renowned for its extensive collection of Flemish and European fine arts spanning the Middle Ages to the 20th century.
  • C. KRC Genk
    KRC Genk is a Belgian professional football club known for developing top talents, including Kevin De Bruyne, and competing in the country’s top division.
  • D. Zulte
    Zulte is a municipality in the Belgian province of East Flanders.
  • E. Lierse
    Lierse refers to something or someone originating from or associated with the city of Lier in Belgium, commonly used as a demonym and in the names of local institutions such as sports clubs.
  • 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.