Triple

T8399620
Position Surface form Disambiguated ID Type / Status
Subject canton of Breteuil E198138 entity
Predicate contains P35 FINISHED
Object Cernières
Cernières is a small locality situated within the canton of Breteuil in northern France.
 E756547 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: Cernières | Statement: [canton of Breteuil, contains, Cernières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cernières
Context triple: [canton of Breteuil, contains, Cernières]
  • A. Côteaux
    Côteaux is a coastal commune in Haiti’s Sud Department known for its rural character and Caribbean shoreline.
  • B. Cuiseaux
    Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
  • C. Trépail
    Trépail is a wine-producing village in northeastern France’s Champagne region, noted for its Chardonnay vineyards on the slopes of the Montagne de Reims.
  • D. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • E. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • 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: Cernières
Triple: [canton of Breteuil, contains, Cernières]
Generated description
Cernières is a small locality situated within the canton of Breteuil in northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cernières
Target entity description: Cernières is a small locality situated within the canton of Breteuil in northern France.
  • A. Côteaux
    Côteaux is a coastal commune in Haiti’s Sud Department known for its rural character and Caribbean shoreline.
  • B. Cuiseaux
    Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
  • C. Trépail
    Trépail is a wine-producing village in northeastern France’s Champagne region, noted for its Chardonnay vineyards on the slopes of the Montagne de Reims.
  • D. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • E. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb824bfcbc8190b26bfcb5f8c4777c completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf512d294c8190bed7e37991d237c1 completed April 3, 2026, 5:33 a.m.
NEDg Description generation batch_69cf540bee8081908f9c176a1971742f completed April 3, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69cf54a056408190bd536f79e3ec33be completed April 3, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:04 p.m.