Triple

T9215194
Position Surface form Disambiguated ID Type / Status
Subject canton of Vence E221224 entity
Predicate containsCommune P15149 FINISHED
Object Gattières E362750 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: Gattières | Statement: [canton of Vence, containsCommune, Gattières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gattières
Context triple: [canton of Vence, containsCommune, Gattières]
  • A. Gattières chosen
    Gattières is a small commune in southeastern France, situated in the Alpes-Maritimes department near Nice on the French Riviera.
  • B. Saucats
    Saucats is a commune in southwestern France’s Gironde department, known for its vineyards and location within the prestigious Pessac-Léognan wine-growing area.
  • C. Cigales
    Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
  • D. Cagne
    The Cagne is a small coastal river in southeastern France that flows through the town of Cagnes-sur-Mer into the Mediterranean Sea.
  • E. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0830a8819096a186ed2e976cba completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0661c4c2c8190bc5be991a3a75f2b completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:27 p.m.