Triple

T656802
Position Surface form Disambiguated ID Type / Status
Subject Arabic calligraphy E11665 entity
Predicate importantCenter P164 FINISHED
Object Cordoba E37664 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: Cordoba | Statement: [Arabic calligraphy, importantCenter, Cordoba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cordoba
Context triple: [Arabic calligraphy, importantCenter, Cordoba]
  • A. Cordoba (historical) chosen
    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. Granada
    Granada is a historic city in southern Spain, renowned as the last stronghold of Muslim rule on the Iberian Peninsula and home to the famed Alhambra palace.
  • C. Málaga
    Málaga is a historic port city on Spain’s Costa del Sol, renowned for its Mediterranean beaches, rich Andalusian culture, and as the birthplace of artist Pablo Picasso.
  • D. Zaragoza
    Zaragoza is a historic city in northeastern Spain, known for landmarks like the Basilica del Pilar and its role as a major cultural and economic center in the Aragon region.
  • E. Jaén
    Jaén is a province in southern Spain’s Andalusia region, renowned for its vast olive groves and historic Renaissance towns.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a517ac148190aa032b77885bf709 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5e92d6b0819091fad60317eee455 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:36 p.m.