Triple

T20209118
Position Surface form Disambiguated ID Type / Status
Subject Pont Valentré E493439 entity
Predicate locatedIn P40 FINISHED
Object Lot department 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: Lot department | Statement: [Pont Valentré, locatedIn, Lot department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lot department
Context triple: [Pont Valentré, locatedIn, Lot department]
  • A. Lot department chosen
    The Lot department is an administrative region in southwestern France known for its rugged limestone landscapes, medieval villages, and prehistoric cave art.
  • B. Collection Department
    The Collection Department is a division of Japan's National Tax Agency responsible for enforcing tax payment, managing delinquent taxes, and overseeing collection procedures.
  • C. Department Q
    Department Q is a fictional cold case division of the Copenhagen police, led by detective Carl Mørck in Jussi Adler-Olsen’s crime novel series and its film adaptations.
  • D. Table Office
    The Table Office is an administrative unit of the Australian House of Representatives responsible for managing parliamentary documents, records, and the formal business of the chamber.
  • E. Var department
    Var department is an administrative division in the Provence-Alpes-Côte d'Azur region of southeastern France, known for its Mediterranean coastline, resorts, and historic towns.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d94999c8190b67051cb0acea213 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.