Triple

T958512
Position Surface form Disambiguated ID Type / Status
Subject Land van Cuijk region E20677 entity
Predicate contains P35 FINISHED
Object Gassel E21788 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: Gassel | Statement: [Land van Cuijk region, contains, Gassel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gassel
Context triple: [Land van Cuijk region, contains, Gassel]
  • A. Gassel chosen
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • B. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • C. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • D. Gapper
    Gapper is the furry, red, and energetic mascot of Major League Baseball’s Cincinnati Reds, known for entertaining fans at Great American Ball Park.
  • E. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3fc94ec8190b55c6cdf3a37d6b5 completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac17016be0819097207669eae17490 completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.