Triple

T22779227
Position Surface form Disambiguated ID Type / Status
Subject Tofa people E563787 entity
Predicate language P15 FINISHED
Object Tofa 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: Tofa language | Statement: [Tofa people, language, Tofa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tofa language
Context triple: [Tofa people, language, Tofa language]
  • A. Tofa language chosen
    Tofa is a critically endangered Turkic language traditionally spoken by the Tofa (Tofalars) people of south-central Siberia in Russia.
  • B. Towa language
    Towa is a Native American language spoken by the Towa (Jemez) people of New Mexico and is part of the Puebloan language family.
  • C. Touo language
    Touo is an Oceanic language spoken by a small community in the Solomon Islands, noted for its distinct phonology and limited number of speakers.
  • D. Toundanow language
    The Toundanow language is an Austronesian language spoken by the Tonsawang people of northern Sulawesi, Indonesia.
  • E. Thaua language
    The Thaua language is an Indigenous Australian Aboriginal language traditionally spoken by the Thaua (a group of the Yuin people) of the south coast of New South Wales.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b63d348819085668e3d9ac78ffa completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.