Triple

T6887314
Position Surface form Disambiguated ID Type / Status
Subject Battle of Yerbas Buenas E158954 entity
Predicate location P40 FINISHED
Object Yerbas Buenas E441402 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: Yerbas Buenas | Statement: [Battle of Yerbas Buenas, location, Yerbas Buenas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yerbas Buenas
Context triple: [Battle of Yerbas Buenas, location, Yerbas Buenas]
  • A. Yerbas Buenas chosen
    Yerbas Buenas is a historic rural town and municipality in Chile’s Maule Region, known for its colonial heritage and role in the country’s independence era.
  • B. Verdolagas
    Verdolagas is the popular nickname of Honduran football club Marathón, one of the country’s most traditional and successful teams.
  • C. Anamirta
    Anamirta is a genus of tropical climbing plants known for species that produce toxic alkaloids historically used as fish poisons and insecticides.
  • D. Sarraméa
    Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
  • E. Hortência
    Hortência is a legendary Brazilian basketball player widely regarded as one of the greatest female players in the sport’s history.
  • 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d90e92488190b738676342ac6393 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742e249508190ac95be97c0409d4a completed March 28, 2026, 2:54 a.m.
Created at: March 27, 2026, 2:23 p.m.