Triple

T3227088
Position Surface form Disambiguated ID Type / Status
Subject Francisco Jiménez de Cisneros E67649 entity
Predicate workLocation P7 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: [Francisco Jiménez de Cisneros, workLocation, Alcalá de Henares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alcalá de Henares
Context triple: [Francisco Jiménez de Cisneros, workLocation, 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. Salamanca
    Salamanca is a historic city in western Spain renowned for its ancient university, golden sandstone architecture, and well-preserved medieval old town.
  • 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 an industrial city in central Mexico known for its major oil refinery and role in the country's petrochemical sector.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb5e67c819082070d108d3613ba completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e826c50c8190a6e472e7a8862df2 completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:08 p.m.