Triple

T7455395
Position Surface form Disambiguated ID Type / Status
Subject Arauca Department E172108 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Guahibo E378929 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: Guahibo | Statement: [Arauca Department, hasEthnicGroup, Guahibo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guahibo
Context triple: [Arauca Department, hasEthnicGroup, Guahibo]
  • A. Guahibo chosen
    The Guahibo are an Indigenous people of the Llanos region in Colombia and Venezuela, known for their traditionally semi-nomadic lifestyle, distinct language, and deep connection to the Orinoco River basin.
  • B. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • C. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • D. Guana
    Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
  • E. Guagua
    Guagua is a municipality in the province of Pampanga in the Philippines, known historically as a riverside trading town.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3af58dc819093fb0482482779a3 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856aa64e48190be1ea1490123cf26 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:15 p.m.