Triple

T16392449
Position Surface form Disambiguated ID Type / Status
Subject Saint-Herblain E398086 entity
Predicate adjacentTo P224 FINISHED
Object Bouguenais E393203 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: Bouguenais | Statement: [Saint-Herblain, adjacentTo, Bouguenais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bouguenais
Context triple: [Saint-Herblain, adjacentTo, Bouguenais]
  • A. Bouguenais chosen
    Bouguenais is a suburban commune in western France, located near Nantes and known for hosting Nantes Atlantique Airport.
  • B. Pontgouin
    Pontgouin is a small commune in northern France’s Eure-et-Loir department, known for its rural setting and the Eure River running through it.
  • C. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • D. Pertuis
    Pertuis is a commune in southeastern France’s Vaucluse department, known as a gateway to the Luberon region and part of the Aix-en-Provence urban area.
  • E. Baie-Mahault
    Baie-Mahault is a major commune on the island of Basse-Terre in Guadeloupe, known as an important industrial and commercial center in the French Caribbean.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326436ce881909f0f3899b8d931aa completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003573c6d48190979201b9619c5103 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.