Triple

T10341371
Position Surface form Disambiguated ID Type / Status
Subject European Fisheries Control Agency E243134 entity
Predicate headquartersLocation P62 FINISHED
Object Vigo E189114 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: Vigo | Statement: [European Fisheries Control Agency, headquartersLocation, Vigo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vigo
Context triple: [European Fisheries Control Agency, headquartersLocation, Vigo]
  • A. Vigo chosen
    Vigo is a major industrial and port city in northwestern Spain, known for its shipbuilding, fishing industry, and location on the Atlantic coast of Galicia.
  • B. Vigo
    Vigo is a money transfer service brand that facilitates international remittances, particularly for customers sending funds to Latin America and other global regions.
  • C. A Coruña
    A Coruña is a coastal city in northwestern Spain known for its historic lighthouse, the Tower of Hercules, and its role as an important cultural and economic center in the region.
  • D. Pontevedra
    Pontevedra is a coastal province in northwestern Spain known for its historic towns, Atlantic landscapes, and location within the autonomous community of Galicia.
  • E. Pontevedra
    Pontevedra is a coastal municipality in the province of Capiz in the Philippines, known for its fishing communities and agricultural economy.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e0a645348190af91450360a9abed completed April 7, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75070c3ac8190b0d50a93d48c9bd9 completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:55 a.m.