Triple

T13958472
Position Surface form Disambiguated ID Type / Status
Subject Bordeaux Métropole E335728 entity
Predicate contains P35 FINISHED
Object Saint-Louis-de-Montferrand
Saint-Louis-de-Montferrand is a small commune in southwestern France that forms part of the suburban area around the city of Bordeaux.
E1102408 NE FINISHED

How this triple was built (4 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: Saint-Louis-de-Montferrand | Statement: [Bordeaux Métropole, contains, Saint-Louis-de-Montferrand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Louis-de-Montferrand
Context triple: [Bordeaux Métropole, contains, Saint-Louis-de-Montferrand]
  • A. Montferrand
    Montferrand is a historic French town, now part of Clermont-Ferrand, known for its medieval heritage and former status as a separate commune in the Auvergne region.
  • B. Bourg-Saint-Pierre
    Bourg-Saint-Pierre is a small Swiss village in the canton of Valais, known as a historic stop on the Great St. Bernard Pass near the Italian border.
  • C. Fremault
    Fremault is the surname of American film and television actress Anita Louise.
  • D. Saint-Jean-d'Heurs
    Saint-Jean-d'Heurs is a small commune in the Puy-de-Dôme department in central France.
  • E. Villefontaine
    Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Saint-Louis-de-Montferrand
Triple: [Bordeaux Métropole, contains, Saint-Louis-de-Montferrand]
Generated description
Saint-Louis-de-Montferrand is a small commune in southwestern France that forms part of the suburban area around the city of Bordeaux.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saint-Louis-de-Montferrand
Target entity description: Saint-Louis-de-Montferrand is a small commune in southwestern France that forms part of the suburban area around the city of Bordeaux.
  • A. Montferrand
    Montferrand is a historic French town, now part of Clermont-Ferrand, known for its medieval heritage and former status as a separate commune in the Auvergne region.
  • B. Bourg-Saint-Pierre
    Bourg-Saint-Pierre is a small Swiss village in the canton of Valais, known as a historic stop on the Great St. Bernard Pass near the Italian border.
  • C. Fremault
    Fremault is the surname of American film and television actress Anita Louise.
  • D. Saint-Jean-d'Heurs
    Saint-Jean-d'Heurs is a small commune in the Puy-de-Dôme department in central France.
  • E. Villefontaine
    Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
  • F. None of above. chosen

Provenance (5 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7a34f08190aa0d88b66154f268 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d72a17c8190b63f9f441731917d completed May 8, 2026, 4:58 a.m.
NEDg Description generation batch_69fd6de8b640819098adc7fb05acba7a completed May 8, 2026, 5 a.m.
NED2 Entity disambiguation (via description) batch_69fd6fadf9b0819086ef8ffec340d7c6 completed May 8, 2026, 5:07 a.m.
Created at: April 9, 2026, 10:17 p.m.