Triple

T10649871
Position Surface form Disambiguated ID Type / Status
Subject Yaguachi Canton E250934 entity
Predicate hasCapital P204 FINISHED
Object Yaguachi E250934 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: Yaguachi | Statement: [Yaguachi Canton, hasCapital, Yaguachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaguachi
Context triple: [Yaguachi Canton, hasCapital, Yaguachi]
  • A. Yaguachi chosen
    Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas Province.
  • B. Chácobo
    Chácobo is an indigenous language of the Panoan family spoken by the Chácobo people in the Bolivian Amazon.
  • C. Quilleco
    Quilleco is a small town and commune in Chile’s Biobío Region, known for its proximity to the Angostura hydroelectric dam on the Biobío River.
  • D. Yaguajay
    Yaguajay is a town and municipality in central Cuba known for its historic role in the Cuban Revolution, particularly the Battle of Yaguajay.
  • E. Fiambalá
    Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe4b97081908815b77612222318 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a69a57c81908bf99cac0c0a49f2 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:06 p.m.