Triple

T23242590
Position Surface form Disambiguated ID Type / Status
Subject Loiu E581497 entity
Predicate locatedIn P40 FINISHED
Object province of Biscay 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: province of Biscay | Statement: [Loiu, locatedIn, province of Biscay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: province of Biscay
Context triple: [Loiu, locatedIn, province of Biscay]
  • A. Province of Vizcaya
    The Province of Vizcaya (Biscay) is a coastal province in northern Spain’s Basque Country, known for its capital Bilbao and its strong industrial and maritime heritage.
  • B. Bizkaia chosen
    Bizkaia is a province in northern Spain within the Basque Country, known for its capital Bilbao and strong Basque cultural identity.
  • C. Azpeitia, Gipuzkoa
    Azpeitia, Gipuzkoa is a historic town in Spain’s Basque Country, best known as the birthplace of Saint Ignatius of Loyola and a significant site of Jesuit heritage.
  • D. Gipuzkoa
    Gipuzkoa is a coastal province in northern Spain known for its Basque culture, rugged landscapes, and the city of San Sebastián.
  • E. Province of Cantabria
    The Province of Cantabria is a coastal region in northern Spain known for its rugged shoreline along the Bay of Biscay, green mountainous landscapes, and rich prehistoric and medieval heritage.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ef109881908c8fba7316c90910 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:10 p.m.