Triple

T10615646
Position Surface form Disambiguated ID Type / Status
Subject Autoroute A62 E276111 entity
Predicate passesNear P416 FINISHED
Object Marmande E83980 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: Marmande | Statement: [Autoroute A62, passesNear, Marmande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marmande
Context triple: [Autoroute A62, passesNear, Marmande]
  • A. Marmande chosen
    Marmande is a town in southwestern France known for its agricultural production, particularly tomatoes, and its location in the Garonne River valley.
  • B. Saint-Mard
    Saint-Mard is a French commune in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
  • C. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • D. Pommereuil
    Pommereuil is a small commune in the Nord department of northern France.
  • E. Cuiseaux
    Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6d76dc8190bd8d481fed3225d9 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ecd44b08190bccbedd63544ba17 completed April 10, 2026, 8:34 p.m.
Created at: April 8, 2026, 7:33 p.m.