Triple

T20168114
Position Surface form Disambiguated ID Type / Status
Subject Arles-sur-Tech E491879 entity
Predicate nearbyCity P350 FINISHED
Object Céret 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: Céret | Statement: [Arles-sur-Tech, nearbyCity, Céret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Céret
Context triple: [Arles-sur-Tech, nearbyCity, Céret]
  • A. Céret chosen
    Céret is a historic town in southern France near the Spanish border, renowned for its modern art museum and its association with early 20th-century artists like Picasso and Braque.
  • B. Carcès
    Carcès is a commune in the Var department of southeastern France, known for its medieval village center, surrounding vineyards, and proximity to lakes and rivers popular for outdoor activities.
  • C. Marvejols
    Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
  • D. Saint-Girons
    Saint-Girons is a small town in the Ariège department of southwestern France, situated in the foothills of the Pyrenees.
  • E. Villefranche-de-Conflent
    Villefranche-de-Conflent is a fortified medieval village in the Pyrénées-Orientales department of southern France, renowned for its well-preserved ramparts and status as a UNESCO World Heritage Site.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66845cb588190820c50eea0c40d83 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.