Triple

T9457514
Position Surface form Disambiguated ID Type / Status
Subject Lord of Biscay E228055 entity
Predicate locatedInTheAdministrativeTerritorialEntity P40 FINISHED
Object Biscay E159064 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: Biscay | Statement: [Lord of Biscay, locatedInTheAdministrativeTerritorialEntity, Biscay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biscay
Context triple: [Lord of Biscay, locatedInTheAdministrativeTerritorialEntity, Biscay]
  • A. Biscay chosen
    Biscay is a coastal province in northern Spain, known for its capital Bilbao and its role as a historic and cultural center of the Basque Country.
  • B. Leioa
    Leioa is a suburban municipality in the Basque Country in northern Spain, located near Bilbao in the province of Biscay.
  • C. Zuberoa
    Zuberoa is the Basque-language name for Soule, a small historical and cultural province of the Basque Country located in the French Pyrenees.
  • D. Garrotxa
    Garrotxa is a comarca (county) in northeastern Catalonia, Spain, known for its volcanic landscape, beech forests, and the medieval town of Besalú.
  • E. Bizkaia
    Bizkaia is a province in northern Spain within the Basque Country, known for its capital Bilbao and strong Basque cultural identity.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f90cf648190ab238ba6b4f03c4f completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139e6cc888190a2175149c59bb138 completed April 4, 2026, 4:18 p.m.
Created at: March 30, 2026, 7:52 p.m.