Triple

T16995115
Position Surface form Disambiguated ID Type / Status
Subject Quiriego Municipality E412293 entity
Predicate hasCapital P204 FINISHED
Object Quiriego E665825 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: Quiriego | Statement: [Quiriego Municipality, hasCapital, Quiriego]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quiriego
Context triple: [Quiriego Municipality, hasCapital, Quiriego]
  • A. Quiriego chosen
    Quiriego is a rural municipality in the Mexican state of Sonora, known for its agricultural activities and small, dispersed communities.
  • B. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • C. Sarzedo
    Sarzedo is a small parish (freguesia) in the municipality of Arganil, located in the Coimbra District of central Portugal.
  • D. Villanúa
    Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
  • E. Alagón
    Alagón is a municipality in northeastern Spain known for its historical architecture and location near the Ebro River in the autonomous community of Aragon.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d285f35881908c32b2f27ba7f0ac completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc16fbdc819095411a056b9942c3 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.