Triple

T10362193
Position Surface form Disambiguated ID Type / Status
Subject Northern Catalonia E244163 entity
Predicate hasSubregion P285 FINISHED
Object Capcir E85354 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: Capcir | Statement: [Northern Catalonia, hasSubregion, Capcir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capcir
Context triple: [Northern Catalonia, hasSubregion, Capcir]
  • A. Capcir chosen
    Capcir is a high-altitude plateau and historical region in the eastern Pyrenees of southern France, known for its mountain landscapes, lakes, and Catalan cultural heritage.
  • B. Capys
    Capys is a figure in Roman mythology known as an ancestor of Aeneas and a member of the royal Trojan lineage.
  • C. Cappy
    Cappy is a central character in the action-thriller film "Executive Decision," involved in the high-stakes mission to thwart a terrorist hijacking.
  • D. Piipaash
    Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
  • E. Capul
    Capul is a small island municipality in the province of Northern Samar in the Philippines, known for its historic lighthouse and unique local language.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e962f08c8190a7ac489dc524510d completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750bcf00081909b44ffa5df76aec1 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:59 a.m.