Triple

T4115704
Position Surface form Disambiguated ID Type / Status
Subject Stade des Costières E90285 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Gard E89752 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: Gard | Statement: [Stade des Costières, locatedInAdministrativeTerritory, Gard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gard
Context triple: [Stade des Costières, locatedInAdministrativeTerritory, Gard]
  • A. Gard chosen
    Gard is a department in southern France known for its Mediterranean landscapes, historic towns, and the famous Pont du Gard Roman aqueduct.
  • B. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • C. Toft
    Toft is a location that serves as one end of the Yell Sound ferry connection in the Shetland Islands, Scotland.
  • D. Gudhjem
    Gudhjem is a picturesque coastal village on the Danish island of Bornholm, known for its steep streets, red-roofed houses, and harbor overlooking the Baltic Sea.
  • E. Plassans
    Plassans is a fictional provincial town in southern France created by Émile Zola as a central setting in several of his Rougon-Macquart novels.
  • 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01f1e2e08190a6b73d7674c34e88 completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b90054081908a51c366c6fe51d7 completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:41 p.m.