Triple

T15803775
Position Surface form Disambiguated ID Type / Status
Subject Fuero Juzgo E383160 entity
Predicate regionOfOrigin P410 FINISHED
Object Iberia E1063246 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: Iberia | Statement: [Fuero Juzgo, regionOfOrigin, Iberia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iberia
Context triple: [Fuero Juzgo, regionOfOrigin, Iberia]
  • A. Iberia chosen
    Iberia is a historical region of the western Mediterranean, largely corresponding to modern Spain and Portugal, known for its ancient Celtic and Roman cultures.
  • B. Iberia
    Iberia is the flag carrier airline of Spain, operating an extensive network of domestic and international flights, particularly linking Europe with Latin America.
  • C. Ibéria
    Ibéria is the central movement of Claude Debussy’s orchestral triptych "Images pour orchestre," evoking the atmosphere and rhythms of Spain through impressionistic orchestration.
  • D. Spanyolrét
    Spanyolrét is a residential neighborhood located within Budapest’s 11th District (Újbuda) on the Buda side of the city.
  • E. Iberê
    Iberê is a Brazilian given name most notably associated with the influential painter and printmaker Iberê Camargo.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b524835c8190ae286b2562f07756 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b4fe5881909471887219654d69 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.