Triple

T14606505
Position Surface form Disambiguated ID Type / Status
Subject Province of Pontevedra E342842 entity
Predicate contains P35 FINISHED
Object A Estrada E693366 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: A Estrada | Statement: [Province of Pontevedra, contains, A Estrada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Estrada
Context triple: [Province of Pontevedra, contains, A Estrada]
  • A. A Estrada chosen
    A Estrada is a municipality in the autonomous community of Galicia in northwestern Spain, known for its rural landscapes and traditional Galician culture.
  • B. Estrada
    Estrada is a Filipino surname most prominently associated with Joseph Estrada, a former movie actor who became the 13th President of the Philippines.
  • C. Andrade
    Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
  • D. Acosta
    Acosta is a rural canton in Costa Rica known for its mountainous landscapes, coffee farming, and location within the San José Province.
  • E. Caminha
    Caminha is a historic coastal town and municipality in northern Portugal, situated at the mouth of the Minho River near the Spanish border.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44d327c8190a8d20568429d0f80 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94d09e988190a2a2a1332397b412 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.