Triple

T4760698
Position Surface form Disambiguated ID Type / Status
Subject Instituto Cervantes E105690 entity
Predicate headquartersLocation P62 FINISHED
Object Alcalá de Henares E91758 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: Alcalá de Henares | Statement: [Instituto Cervantes, headquartersLocation, Alcalá de Henares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alcalá de Henares
Context triple: [Instituto Cervantes, headquartersLocation, Alcalá de Henares]
  • A. Alcalá de Henares chosen
    Alcalá de Henares is a historic Spanish city east of Madrid, renowned as the birthplace of Miguel de Cervantes and for its well-preserved university and medieval architecture.
  • B. Alcalá la Real
    Alcalá la Real is a historic town in southern Spain known for its imposing La Mota fortress and strategic location between Granada and Jaén.
  • C. 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.
  • D. Salamanca
    Salamanca is a Chilean town and municipality in the Coquimbo Region, known for its agricultural production and location in the Choapa Valley.
  • E. Salamanca
    Salamanca is a historic city in western Spain renowned for its ancient university, golden sandstone architecture, and well-preserved medieval old town.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650eefe08190b99f9f01b121dbfd completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7e252c88190be9796ab9bf174c8 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:20 p.m.