Triple

T20664917
Position Surface form Disambiguated ID Type / Status
Subject Toulouse Metro Line A E507858 entity
Predicate serves P98 FINISHED
Object Balma 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: Balma | Statement: [Toulouse Metro Line A, serves, Balma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balma
Context triple: [Toulouse Metro Line A, serves, Balma]
  • A. Balma chosen
    Balma is a suburban commune in southwestern France located just east of Toulouse in the Occitanie region.
  • B. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • C. Marchena
    Marchena is a historic town in the province of Seville, Andalusia, southern Spain, known for its rich architectural heritage and traditional Andalusian culture.
  • D. Barbagia
    Barbagia is a mountainous, historically isolated area in central Sardinia known for its strong preservation of traditional Sardinian culture, language, and customs.
  • E. Calas
    Calas is a French surname most notably associated with Jean Calas, whose controversial 18th-century trial and execution became a landmark case in the fight against religious intolerance.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c2c6d48190bbfe505cf7d973f9 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.