Triple

T7375717
Position Surface form Disambiguated ID Type / Status
Subject canton of Calais-2 E170116 entity
Predicate usesAdministrativeCodeSystem P45385 FINISHED
Object INSEE E538431 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: INSEE | Statement: [canton of Calais-2, usesAdministrativeCodeSystem, INSEE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INSEE
Context triple: [canton of Calais-2, usesAdministrativeCodeSystem, INSEE]
  • A. INSEE code system chosen
    The INSEE code system is France’s official numerical identification scheme used to uniquely code geographic areas, administrative divisions, and various statistical entities for national data and census purposes.
  • B. IDHEC
    IDHEC (Institut des hautes études cinématographiques) was a prestigious French film school in Paris that trained many notable filmmakers and industry professionals.
  • C. Paris Institute of Statistics (ISUP)
    The Paris Institute of Statistics (ISUP) is a prestigious French grande école and university institute specializing in advanced training and research in statistics and data analysis.
  • D. INSERM
    INSERM is France’s national public research institute dedicated to human health and medical research.
  • E. Institut national de l’information géographique et forestière
    The Institut national de l’information géographique et forestière (IGN) is France’s national public agency responsible for producing and managing official geographic, cartographic, and forest-related information.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1a780f88190abf11994e307b6ad completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802d15a8481908e43701459607276 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:07 p.m.