Triple

T11469114
Position Surface form Disambiguated ID Type / Status
Subject Tuu languages E271854 entity
Predicate languageBranch P1967 FINISHED
Object Taa E538823 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: Taa | Statement: [Tuu languages, languageBranch, Taa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taa
Context triple: [Tuu languages, languageBranch, Taa]
  • A. Taa chosen
    Taa, also known as ǃXóõ, is a highly complex Khoisan language of southern Africa noted for having one of the largest consonant inventories and extensive use of click sounds.
  • B. TAA
    TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
  • C. Taan
    Taan is the Indigenous name for Prince of Wales Island, reflecting the traditional language and cultural heritage of its Native inhabitants.
  • D. Daa
    Daa is a Norwegian surname most notably associated with Ludvig Kristensen Daa, a 19th-century historian, politician, and cultural figure.
  • E. Taaqtam
    Taaqtam is the self-designated name of the Serrano people, an Indigenous group native to the inland regions of Southern California.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f74144819094479690c8151073 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e94ea4748190b375e644b2f1a46c completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:35 p.m.