Triple

T7720904
Position Surface form Disambiguated ID Type / Status
Subject Suwawa language E175005 entity
Predicate hasExonym P4705 FINISHED
Object Suwawa language E175005 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: Suwawa language | Statement: [Suwawa language, hasExonym, Suwawa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suwawa language
Context triple: [Suwawa language, hasExonym, Suwawa language]
  • A. Suwawa language chosen
    The Suwawa language is an Austronesian language spoken by the Suwawa people of northern Sulawesi, Indonesia, and is part of the Gorontalo–Mongondow subgroup.
  • B. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • C. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • D. Sawunese language
    The Sawunese language is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
  • E. Mikasuki language
    The Mikasuki language is a Native American Muskogean language traditionally spoken by the Miccosukee and Seminole peoples of Florida.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702f0366c8190a78f0b03f090fc2c completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b517c64881908d24e8613dc33bf4 completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:05 p.m.