Triple

T23353568
Position Surface form Disambiguated ID Type / Status
Subject Yunca E592982 entity
Predicate region P40 FINISHED
Object La Libertad E1507452 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: La Libertad | Statement: [Yunca, region, La Libertad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Libertad
Context triple: [Yunca, region, La Libertad]
  • A. La Libertad
    La Libertad is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and scenic seaside and mountain landscapes.
  • B. La Libertad chosen
    La Libertad is a coastal region in northwestern Peru known for its rich pre-Columbian archaeological sites, including those of the Moche and Chimú cultures, and its capital city Trujillo.
  • C. La Libertad
    La Libertad is a coastal Ecuadorian city known for its oil industry, commercial activity, and proximity to the popular beach resort of Salinas.
  • D. La Libertad
    La Libertad is a municipality in Nicaragua’s Chontales Department, known for its cattle ranching and agricultural activities.
  • E. La Libertad
    La Libertad is a town and municipality located within the Comayagua Department of central Honduras.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a15d0a48190862179254c09c6d1 completed April 29, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dcdfe988190aed1c51e79d98457 completed May 19, 2026, 12:55 p.m.
Created at: April 17, 2026, 5:20 p.m.