Triple

T19960127
Position Surface form Disambiguated ID Type / Status
Subject Montségur Castle E479788 entity
Predicate near P350 FINISHED
Object town of Lavelanet NE NERFINISHED

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: town of Lavelanet | Statement: [Montségur Castle, near, town of Lavelanet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Lavelanet
Context triple: [Montségur Castle, near, town of Lavelanet]
  • A. Lavelanet
    Lavelanet is a small town in southwestern France known for its textile industry heritage and location in the foothills of the Pyrenees.
  • B. Lavallois
    Lavallois is the French demonym for inhabitants of the city of Laval, particularly in the Mayenne department of northwestern France.
  • C. Lanslevillard
    Lanslevillard is a small alpine village in southeastern France, known for its ski resort and location within the Vanoise National Park in the Savoie department.
  • D. Lavelanet, France chosen
    Lavelanet, France is a small town in the Ariège department of southwestern France, known as the birthplace of former French international football goalkeeper Fabien Barthez.
  • E. Vernouillet
    Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af386548190aefac1e40aac403d completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.