Triple

T22173996
Position Surface form Disambiguated ID Type / Status
Subject Region Nororiental E547994 entity
Predicate includesState P285 FINISHED
Object Sucre NE NERFINISHED

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: Sucre | Statement: [Region Nororiental, includesState, Sucre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sucre
Context triple: [Region Nororiental, includesState, Sucre]
  • A. Sucre chosen
    Sucre is a coastal state in northeastern Venezuela known for its Caribbean shoreline, fishing communities, and colonial-era towns.
  • B. Sucre
    Sucre is the constitutional capital of Bolivia, known for its well-preserved colonial architecture and historical significance in the country’s independence.
  • C. Sucre
    Sucre is a neighborhood or locality within the Chapinero district of Bogotá, Colombia, known primarily as a residential and commercial urban area.
  • D. La Paz
    La Paz is a rural municipality in the province of Leyte in the Philippines, known for its agricultural communities and small-town setting.
  • E. La Paz
    La Paz is the administrative capital and one of the major cities of Bolivia, known for its dramatic setting in a deep valley of the Andes at one of the highest elevations of any capital city in the world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6a9370819098ad65fede676c2b completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.