Triple

T11228898
Position Surface form Disambiguated ID Type / Status
Subject Huambisa E265767 entity
Predicate closelyRelatedTo P37 FINISHED
Object Achuar-Shiwiar E260238 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: Achuar-Shiwiar | Statement: [Huambisa, closelyRelatedTo, Achuar-Shiwiar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Achuar-Shiwiar
Context triple: [Huambisa, closelyRelatedTo, Achuar-Shiwiar]
  • A. Achuar-Shiwiar chosen
    Achuar-Shiwiar is an indigenous Jivaroan language spoken by the Achuar and Shiwiar peoples of the Amazon rainforest in Ecuador and Peru.
  • B. Sácama
    Sácama is a small municipality located in the Casanare Department of eastern Colombia, known for its rural character and Andean–Orinoco transitional landscapes.
  • C. Aguaruna
    Aguaruna are an Indigenous people of the Peruvian Amazon, known for their Jivaroan language, forest-based livelihoods, and strong traditions of autonomy and resistance.
  • D. Wancho
    Wancho are an indigenous tribal community of northeastern India, primarily known for their distinct tattoos, woodcarving traditions, and vibrant festivals.
  • E. Jucuna
    Jucuna is an alternative name for the Yucuna language, an indigenous Arawakan language spoken in the Amazon region of Colombia.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e900fbcc8190a3177f8a73564433 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad3eef408190937949e7b3bf0163 completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.