Triple

T6554507
Position Surface form Disambiguated ID Type / Status
Subject Mazamet E152410 entity
Predicate near P350 FINISHED
Object Castres E152409 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: Castres | Statement: [Mazamet, near, Castres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castres
Context triple: [Mazamet, near, Castres]
  • A. Castres chosen
    Castres is a historic town in southern France known for its picturesque riverside houses, textile heritage, and location in the Tarn department of the Occitanie region.
  • B. Albi
    Albi is a historic city in southern France renowned for its red-brick medieval architecture and the UNESCO-listed Episcopal City centered around Sainte-Cécile Cathedral.
  • C. Carpentras
    Carpentras is a historic town in southeastern France’s Provence region, known for its medieval architecture, rich Jewish heritage, and role as a former papal territory.
  • D. Saint-Jean-du-Gard
    Saint-Jean-du-Gard is a picturesque commune in southern France known as a gateway to the Cévennes mountains and for its historical role in Protestant and rural Cévenol culture.
  • E. Tarascon-sur-Ariège
    Tarascon-sur-Ariège is a small commune in southwestern France, nestled in the Pyrenees along the Ariège River and known for its scenic mountain surroundings and historic architecture.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1c07cc819089c297edad943a57 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4234c148190b19d36903cb67651 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:51 p.m.