Triple

T8091585
Position Surface form Disambiguated ID Type / Status
Subject A62 motorway E188876 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: [A62 motorway, passesNear, Marmande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marmande
Context triple: [A62 motorway, 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. Cuiseaux
    Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
  • E. Beuvron
    Beuvron is a small river in central France that serves as a tributary of the Loire.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42217a1881909792b08a2f06fb75 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640dbab881908a8142ac472f3408 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:30 p.m.