Triple

T3803839
Position Surface form Disambiguated ID Type / Status
Subject Citroën Saxo E91754 entity
Predicate assemblyLocation P40 FINISHED
Object Vigo, Spain 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, Spain | Statement: [Citroën Saxo, assemblyLocation, Vigo, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vigo, Spain
Context triple: [Citroën Saxo, assemblyLocation, Vigo, Spain]
  • 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. Pontevedra
    Pontevedra is a coastal municipality in the province of Capiz in the Philippines, known for its fishing communities and agricultural economy.
  • 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. 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.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bc240881909e91b7b99403a13c completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb270b008190bbd87cbddacb7204 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:15 p.m.