Triple

T23525417
Position Surface form Disambiguated ID Type / Status
Subject Parte Vieja E576417 entity
Predicate borders P224 FINISHED
Object port of San Sebastián NE NERFINISHED

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: port of San Sebastián | Statement: [Parte Vieja, borders, port of San Sebastián]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: port of San Sebastián
Context triple: [Parte Vieja, borders, port of San Sebastián]
  • A. Port of Pasaia
    The Port of Pasaia is a key commercial and fishing harbor on Spain’s Basque coast, serving as one of the main maritime gateways for the province of Gipuzkoa.
  • B. Port of Santander
    The Port of Santander is a major commercial and passenger seaport on Spain’s northern Atlantic coast, serving as an important hub for maritime trade and ferry connections.
  • C. Donostia-San Sebastián chosen
    Donostia-San Sebastián is a coastal city in Spain’s Basque Country renowned for its picturesque bay, beaches, and world-class gastronomy.
  • D. Port of Bermeo
    The Port of Bermeo is a significant fishing and commercial harbor on the Bay of Biscay in the Basque Country, northern Spain.
  • E. Port of Vigo
    The Port of Vigo is a major Spanish Atlantic seaport in Galicia known for its large fishing industry, commercial shipping, and shipbuilding activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac72bfb88190b7da3837e66e851c completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:09 p.m.