Triple

T19431336
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Valenciennes E486119 entity
Predicate contains P35 FINISHED
Object Denain 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: Denain | Statement: [arrondissement of Valenciennes, contains, Denain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denain
Context triple: [arrondissement of Valenciennes, contains, Denain]
  • A. Denain chosen
    Denain is an industrial town in northern France known historically for its coal mining and steel production within the Hainaut region.
  • B. Nikiski
    Nikiski is a small unincorporated community and industrial hub on Alaska’s Kenai Peninsula, known for its oil and gas facilities along the Cook Inlet coast.
  • C. Tyonek
    Tyonek is a small Alaska Native village located on the northwest shore of Cook Inlet in southcentral Alaska.
  • D. Chugiak
    Chugiak is a suburban community in south-central Alaska, located northeast of downtown Anchorage and known as a residential area with access to outdoor recreation.
  • E. Bosel
    Bosel was an early medieval Anglo-Saxon churchman who became the founding bishop of the Diocese of Worcester in 7th-century England.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335b4e388190913ded15ad165b7b completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:37 p.m.