Triple

T20299804
Position Surface form Disambiguated ID Type / Status
Subject Harakmbut E505447 entity
Predicate hasLanguage P15 FINISHED
Object Harakmbut language 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: Harakmbut language | Statement: [Harakmbut, hasLanguage, Harakmbut language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harakmbut language
Context triple: [Harakmbut, hasLanguage, Harakmbut language]
  • A. Harakmbut languages chosen
    Harakmbut languages are a small, indigenous language group spoken by the Harakmbut people of the Peruvian Amazon, known for their endangered status and uncertain external genetic affiliations.
  • B. Bambam language
    The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
  • C. Tagakaulo language
    Tagakaulo language is an Austronesian language spoken by the Tagakaulo people of Mindanao in the southern Philippines.
  • D. Badimaya language
    Badimaya language is an Australian Aboriginal language traditionally spoken by the Yamatji people of Western Australia.
  • E. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770b9484819090ffcb339f2a435a completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:16 a.m.