Triple

T21612098
Position Surface form Disambiguated ID Type / Status
Subject Legazpi E533337 entity
Predicate locatedIn P40 FINISHED
Object Arganzuela 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: Arganzuela | Statement: [Legazpi, locatedIn, Arganzuela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arganzuela
Context triple: [Legazpi, locatedIn, Arganzuela]
  • A. Arganzuela chosen
    Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
  • 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. Daimiel
    Daimiel is a Spanish town and municipality in the autonomous community of Castilla-La Mancha, known for its proximity to the Tablas de Daimiel National Park, a notable wetland ecosystem.
  • D. L'Argentera
    L'Argentera is a small municipality in the Baix Camp comarca of Catalonia, Spain, known for its rural character and scenic Mediterranean surroundings.
  • E. Cañamero
    Cañamero is a small municipality in the province of Cáceres, Extremadura, Spain, known for its scenic setting in the Villuercas-Ibores Geopark and its wine production.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba79424819094e9ee93c4bbcc0b completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:33 p.m.