Triple

T9384795
Position Surface form Disambiguated ID Type / Status
Subject La Caldera E225877 entity
Predicate municipality P852 FINISHED
Object La Oliva E186847 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: La Oliva | Statement: [La Caldera, municipality, La Oliva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Oliva
Context triple: [La Caldera, municipality, La Oliva]
  • A. La Oliva chosen
    La Oliva is a municipality in northern Fuerteventura in Spain’s Canary Islands, known for its volcanic landscapes, dunes, and popular tourist beaches such as Corralejo.
  • B. El Olivo
    El Olivo is a neighborhood within the municipality of Huixquilucan in the State of Mexico, forming part of the greater Mexico City metropolitan area.
  • C. Vacqueyras
    Vacqueyras is a renowned southern Rhône wine appellation in France known for its robust red wines primarily based on Grenache, Syrah, and Mourvèdre.
  • D. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • E. Lebrija
    Lebrija is a historic town and municipality in southern Spain’s Andalusia region, known for its agricultural economy and traditional flamenco culture.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d142008190840e131e8f1940f9 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100e4fff08190abb4865004462841 completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:44 p.m.