Triple

T11890859
Position Surface form Disambiguated ID Type / Status
Subject Sierras de Córdoba E282909 entity
Predicate near P350 FINISHED
Object City of Córdoba E346874 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: City of Córdoba | Statement: [Sierras de Córdoba, near, City of Córdoba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Córdoba
Context triple: [Sierras de Córdoba, near, City of Córdoba]
  • A. Cordoba (historical)
    Cordoba (historical) was a major medieval city in Al-Andalus renowned as a political, cultural, and intellectual center of the Islamic world, especially during the Umayyad Caliphate.
  • B. Córdoba chosen
    Córdoba is a major city in central Argentina known for its industrial base, universities, and strategic military presence.
  • C. Córdoba
    Córdoba is a historic city in southern Spain renowned for its rich Moorish and medieval heritage, including the iconic Mezquita-Catedral.
  • D. Taifa of Córdoba
    The Taifa of Córdoba was a medieval Muslim principality centered on the city of Córdoba that emerged after the fragmentation of the Caliphate of Córdoba in 11th-century al-Andalus.
  • E. La Granada
    La Granada is a small municipality in the Alt Penedès comarca of Catalonia, Spain, known for its wine-growing landscape and rural character.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a3f7548190adfb567f060a175a completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5753848190b0ab7da327c9aa22 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:44 p.m.