Triple

T17181171
Position Surface form Disambiguated ID Type / Status
Subject AGA E416984 entity
Predicate locatedIn P40 FINISHED
Object San Javier NE ONNED1

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: San Javier | Statement: [AGA, locatedIn, San Javier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Javier
Context triple: [AGA, locatedIn, San Javier]
  • A. San Javier chosen
    San Javier is a Chilean town known for its agricultural activity and wine production in the Maule Region.
  • B. San Javier
    San Javier is a municipality in Spain’s Region of Murcia, known for hosting the Spanish Air and Space Force’s main officer training academy and its nearby coastal and lagoon areas on the Mar Menor.
  • C. San Javier
    San Javier is a town in the Mexican state of Baja California Sur, known for its historic mission and role as a regional cultural and religious center.
  • D. Jerez de García Salinas
    Jerez de García Salinas is a historic colonial town and important agricultural and cultural center in the Mexican state of Zacatecas.
  • E. Yuste
    Yuste is a locality in the Extremadura region of western Spain, best known as the retreat where Holy Roman Emperor Charles V spent his final years at the nearby Monastery of Yuste.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc1187808190aeaa0d0e6487957e completed April 18, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0195443f54819098130cf593eb56cb in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:37 a.m.