Triple

T12122488
Position Surface form Disambiguated ID Type / Status
Subject Broto E288727 entity
Predicate hasRegion P285 FINISHED
Object northern Aragon E957635 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: northern Aragon | Statement: [Broto, hasRegion, northern Aragon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern Aragon
Context triple: [Broto, hasRegion, northern Aragon]
  • A. Baix Aragó
    Baix Aragó is a historical and geographical region in northeastern Spain, traditionally associated with the lower reaches of the Aragón River and spanning parts of Aragon and Catalonia.
  • B. Mora y Aragón
    Mora y Aragón is a Spanish aristocratic family name most notably borne by Queen Fabiola of Belgium.
  • C. Alta Ribagorça
    Alta Ribagorça is a small mountainous comarca in the central Pyrenees of Catalonia, known for its Romanesque heritage and ski and hiking tourism.
  • D. Aragonese Pyrenees chosen
    The Aragonese Pyrenees is a mountainous region in northeastern Spain renowned for its high peaks, deep valleys, and popular hiking and skiing areas within the central Pyrenees range.
  • E. Abaskun region
    The Abaskun region was a historical area along the southeastern coast of the Caspian Sea, known in medieval Persian and Islamic sources as a coastal and trading zone near the city of Abaskun.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91578fd88819099adf55c93d549fc completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a77e3588190bf84b3c3aa311641 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.