Triple

T9291042
Position Surface form Disambiguated ID Type / Status
Subject Le Cateau station E223516 entity
Predicate countrySubdivision P766 FINISHED
Object department of Nord E588628 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: department of Nord | Statement: [Le Cateau station, countrySubdivision, department of Nord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: department of Nord
Context triple: [Le Cateau station, countrySubdivision, department of Nord]
  • A. department of Nord chosen
    The department of Nord is a northern French administrative region bordering Belgium, known for its historic industrial cities, Flemish cultural influences, and status as the country’s most populous department.
  • B. Faro Department
    Faro Department is an administrative division in northern Cameroon known for its largely rural character and proximity to the Faro River and protected natural areas.
  • C. Nordlandet
    Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
  • D. Nord-Fron
    Nord-Fron is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and location in the Gudbrandsdalen valley.
  • E. Nordre Land
    Nordre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and agricultural landscape in the traditional district of Land.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0865a7108190b807afd259980db2 completed April 1, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b2381e2c8190acbecf97dea1200c completed April 4, 2026, 6:39 a.m.
Created at: March 30, 2026, 7:35 p.m.