Triple

T8702326
Position Surface form Disambiguated ID Type / Status
Subject Naval Station Rota E206560 entity
Predicate locatedIn P40 FINISHED
Object Rota, Spain E206560 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: Rota, Spain | Statement: [Naval Station Rota, locatedIn, Rota, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rota, Spain
Context triple: [Naval Station Rota, locatedIn, Rota, Spain]
  • A. Rota, Spain chosen
    Rota, Spain is a coastal town in the province of Cádiz that hosts a major Spanish–U.S. naval base and serves as a strategic military and maritime hub.
  • B. Martorell, Spain
    Martorell, Spain is a town in Catalonia best known as a major automotive manufacturing hub and home to SEAT’s main production plant.
  • C. San Ildefonso, Spain
    San Ildefonso, Spain is a historic town in the province of Segovia, best known for the royal palace and gardens of La Granja, a former summer residence of Spanish monarchs.
  • D. Santpedor, Spain
    Santpedor, Spain is a small Catalan town in the province of Barcelona, best known internationally as the birthplace of football manager Pep Guardiola.
  • E. Zamora, Spain
    Zamora, Spain is a historic city in the Castile and León region known for its remarkably well-preserved Romanesque architecture and medieval city walls.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58b5b44081909e7b33c70fac236d completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef41657588190ba6f79c27658dd1b completed April 2, 2026, 10:56 p.m.
Created at: March 30, 2026, 6:34 p.m.