Triple

T18713474
Position Surface form Disambiguated ID Type / Status
Subject Istres E457575 entity
Predicate hasTwinTown P919 FINISHED
Object Azuqueca de Henares 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: Azuqueca de Henares | Statement: [Istres, hasTwinTown, Azuqueca de Henares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azuqueca de Henares
Context triple: [Istres, hasTwinTown, Azuqueca de Henares]
  • A. Azuqueca de Henares chosen
    Azuqueca de Henares is a rapidly growing industrial and residential town in central Spain’s Guadalajara province, strategically located along the Henares River corridor near Madrid.
  • B. Medina del Campo
    Medina del Campo is a historic town in the province of Valladolid, Spain, known for its medieval fairs, strategic importance in Castilian history, and association with Queen Isabella I.
  • C. Henares
    Henares is a river in central Spain that flows through the Province of Guadalajara and is a tributary of the Jarama River.
  • D. Cintray
    Cintray is a small French commune located in the Eure department in the Normandy region of northern France.
  • E. San Fernando de Henares
    San Fernando de Henares is a municipality in the Community of Madrid, Spain, known for its industrial areas and proximity to Madrid’s metropolitan core.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab352b481909b444e7c476898f4 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.