Triple

T15206182
Position Surface form Disambiguated ID Type / Status
Subject Almelo E363394 entity
Predicate partOf P40 FINISHED
Object Twente E87641 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: Twente | Statement: [Almelo, partOf, Twente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twente
Context triple: [Almelo, partOf, Twente]
  • A. Twente chosen
    Twente is a historical and cultural region in the eastern Netherlands known for its rural landscapes, industrial heritage, and cities such as Enschede and Hengelo.
  • B. 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.
  • C. De Graafschap
    De Graafschap is a professional Dutch football club based in Doetinchem, known for its passionate fanbase and history of competing in the Eredivisie and Eerste Divisie.
  • D. SC Heerenveen
    SC Heerenveen is a Dutch professional football club based in Heerenveen, known for competing in the Eredivisie and developing young talent.
  • E. PEC Zwolle
    PEC Zwolle is a professional football club from Zwolle in the Netherlands that competes in the Dutch league system and is known for its regional rivalries and passionate fan base.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b7964c8190bc8dc3444b94f15e completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed33b911c8190815341a342a8d3c8 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:11 a.m.