Triple

T11819613
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Córdoba E281088 entity
Predicate hasCity P316 FINISHED
Object Montilla E445600 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: Montilla | Statement: [Kingdom of Córdoba, hasCity, Montilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montilla
Context triple: [Kingdom of Córdoba, hasCity, Montilla]
  • A. Montilla chosen
    Montilla is a town in the province of Córdoba, Andalusia, Spain, known for its wine production and historical significance.
  • B. Utrera
    Utrera is a historic town in southern Spain’s Andalusia region, known for its rich flamenco heritage, traditional bullfighting culture, and well-preserved architecture.
  • C. Albarracín
    Albarracín is a historic hilltop town in eastern Spain renowned for its well-preserved medieval architecture and dramatic red sandstone setting.
  • D. Sanlúcar de Guadiana
    Sanlúcar de Guadiana is a small Spanish village in the province of Huelva, Andalusia, situated on the banks of the Guadiana River opposite the Portuguese town of Alcoutim.
  • E. Mairena del Aljarafe
    Mairena del Aljarafe is a suburban municipality in Andalusia, Spain, located near the city of Seville and known for its residential character and growing services 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e87e488190905bc3bb6d721e56 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131e1891081909cfbd9e2eb168808 completed April 28, 2026, 10:17 p.m.
Created at: April 8, 2026, 9:42 p.m.