Triple

T11733063
Position Surface form Disambiguated ID Type / Status
Subject Huambisa people E278947 entity
Predicate selfIdentification P4296 FINISHED
Object Huambisa E265767 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: Huambisa | Statement: [Huambisa people, selfIdentification, Huambisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huambisa
Context triple: [Huambisa people, selfIdentification, Huambisa]
  • A. Huambisa chosen
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • B. Chimbay
    Chimbay is a town in the autonomous Republic of Karakalpakstan in northwestern Uzbekistan, serving as a local administrative and economic center in the region.
  • C. Ouahigouya
    Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
  • D. Hualañé
    Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
  • E. Chacahua
    Chacahua is a coastal community in Oaxaca, Mexico, known for its beaches, lagoons, and biodiversity within the Lagunas de Chacahua 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4daa7f48190896fc7653e9dd70b completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8406fe8881909722ecb040087e68 completed April 27, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:41 p.m.