Triple

T3181749
Position Surface form Disambiguated ID Type / Status
Subject Jaén (province) E66602 entity
Predicate contains P35 FINISHED
Object Andújar E329056 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: Andújar | Statement: [Jaén (province), contains, Andújar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andújar
Context triple: [Jaén (province), contains, Andújar]
  • A. Andújar chosen
    Andújar is a historic town in the province of Jaén, Andalusia, Spain, known for its olive oil production and its location near the Sierra de Andújar Natural Park.
  • B. Alajeró
    Alajeró is a small coastal and rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes and traditional Canarian character.
  • C. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • D. San Javier
    San Javier is a Chilean town known for its agricultural activity and wine production in the Maule Region.
  • E. Vicálvaro
    Vicálvaro is a district in the southeast of Madrid, Spain, known for its residential character and educational institutions, including a campus of Rey Juan Carlos University.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6bd07888190b680eace8290d821 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b777fe881909764e2f2cdb68479 completed March 12, 2026, 5:13 a.m.
Created at: March 8, 2026, 3:06 p.m.