Triple

T16445931
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Castelsarrasin E399424 entity
Predicate contains P35 FINISHED
Object Montbarla
Montbarla is a small commune in the Tarn-et-Garonne department in southern France.
E1219522 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: Montbarla | Statement: [arrondissement of Castelsarrasin, contains, Montbarla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montbarla
Context triple: [arrondissement of Castelsarrasin, contains, Montbarla]
  • A. Montegnée
    Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
  • B. Muntelier
    Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
  • C. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • D. Montbazon
    Montbazon is a small commune in central France’s Indre-et-Loire department, known for its historic fortress and picturesque setting along the Indre River.
  • E. Montauroux
    Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
  • 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: Montbarla
Triple: [arrondissement of Castelsarrasin, contains, Montbarla]
Generated description
Montbarla is a small commune in the Tarn-et-Garonne department in southern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Montbarla
Target entity description: Montbarla is a small commune in the Tarn-et-Garonne department in southern France.
  • A. Montegnée
    Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
  • B. Muntelier
    Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
  • C. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • D. Montbazon
    Montbazon is a small commune in central France’s Indre-et-Loire department, known for its historic fortress and picturesque setting along the Indre River.
  • E. Montauroux
    Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdcedf8819080aa82a8712c0b42 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00679d15b08190b4e70e4337bff88d completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a0068a384e0819093c174a46ea5ce10 completed May 10, 2026, 11:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0068fa85448190aef06ff27fe16305 completed May 10, 2026, 11:16 a.m.
Created at: April 10, 2026, 5:10 a.m.