Triple

T19431361
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Valenciennes E486119 entity
Predicate contains P35 FINISHED
Object Denain canton 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 canton | Statement: [arrondissement of Valenciennes, contains, Denain canton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denain canton
Context triple: [arrondissement of Valenciennes, contains, Denain canton]
  • 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. Kanajo
    Kanajo is a character or entity presented as the counterpart or parallel version of Manajo, typically within the same fictional or conceptual setting.
  • C. Matanuska Valley
    Matanuska Valley is a fertile agricultural region in south-central Alaska known for its dramatic glacial landscapes and large, fast-growing produce.
  • D. Eagle River Valley
    Eagle River Valley is a scenic mountain valley in central Colorado known for its outdoor recreation, ski resorts, and communities along the Eagle River.
  • E. Rason
    Rason is a North Korean special economic zone and port city in the country’s northeast, known for its strategic location near the borders with China and Russia.
  • 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.