Triple

T21468628
Position Surface form Disambiguated ID Type / Status
Subject San Javier de Loncomilla area E529662 entity
Predicate hasSettlement P1068 FINISHED
Object San Javier 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: San Javier | Statement: [San Javier de Loncomilla area, hasSettlement, San Javier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Javier
Context triple: [San Javier de Loncomilla area, hasSettlement, 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. San Javier
    San Javier is a small settlement located on Quinchao Island in southern Chile’s Chiloé Archipelago.
  • E. 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.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f58f6c8190a3d2fc8f820a9925 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:16 p.m.