Triple

T19210176
Position Surface form Disambiguated ID Type / Status
Subject Montboudif E480336 entity
Predicate hasDemonym P191 FINISHED
Object Montboudifoise
Montboudifoise is the French demonym referring to a female inhabitant or native of the commune of Montboudif in France.
E1364931 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: Montboudifoise | Statement: [Montboudif, hasDemonym, Montboudifoise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montboudifoise
Context triple: [Montboudif, hasDemonym, Montboudifoise]
  • A. Montbéliarde
    Montbéliarde is a French dairy cattle breed from the Franche-Comté region, valued for its high-quality milk used in traditional cheeses.
  • B. Montagnieu
    Montagnieu is a commune in the Ain department of eastern France, situated within the historic wine-producing area of Bugey.
  • C. Mont Dauban
    Mont Dauban is the tallest mountain on Silhouette Island in the Seychelles, known for its lush tropical forests and panoramic views over the Indian Ocean.
  • D. Vantoux
    Vantoux is a small French commune located in the Moselle department in northeastern France, near the city of Metz.
  • E. Mauvezin
    Mauvezin is a small commune in southwestern France, located in the Gers department within the Occitanie region.
  • 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: Montboudifoise
Triple: [Montboudif, hasDemonym, Montboudifoise]
Generated description
Montboudifoise is the French demonym referring to a female inhabitant or native of the commune of Montboudif in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Montboudifoise
Target entity description: Montboudifoise is the French demonym referring to a female inhabitant or native of the commune of Montboudif in France.
  • A. Montbéliarde
    Montbéliarde is a French dairy cattle breed from the Franche-Comté region, valued for its high-quality milk used in traditional cheeses.
  • B. Montagnieu
    Montagnieu is a commune in the Ain department of eastern France, situated within the historic wine-producing area of Bugey.
  • C. Mont Dauban
    Mont Dauban is the tallest mountain on Silhouette Island in the Seychelles, known for its lush tropical forests and panoramic views over the Indian Ocean.
  • D. Vantoux
    Vantoux is a small French commune located in the Moselle department in northeastern France, near the city of Metz.
  • E. Mauvezin
    Mauvezin is a small commune in southwestern France, located in the Gers department within the Occitanie region.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f9a0d1248190953e36e44f0cafdd completed April 20, 2026, 10:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0700e4e994819080d6767be5e974a3 completed May 15, 2026, 11:17 a.m.
NEDg Description generation batch_6a07029b7580819090126480b5b1213f completed May 15, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_6a07030deef08190a582bb6f956ef381 completed May 15, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:21 p.m.