Triple

T7186513
Position Surface form Disambiguated ID Type / Status
Subject Central Savanna Province E167585 entity
Predicate containsMunicipality P852 FINISHED
Object Tocancipá E38147 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: Tocancipá | Statement: [Central Savanna Province, containsMunicipality, Tocancipá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tocancipá
Context triple: [Central Savanna Province, containsMunicipality, Tocancipá]
  • A. Tocancipá chosen
    Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
  • B. Guayaramerín
    Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
  • C. Tucupita
    Tucupita is a small Venezuelan city that serves as the capital of Delta Amacuro state and the main urban center near the Orinoco Delta.
  • D. Caranavi
    Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
  • E. Rurrenabaque
    Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8e0f2f48190a4ddf8637f556934 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf903f1c819098de137c8c43ca34 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:49 p.m.