Triple

T5666493
Position Surface form Disambiguated ID Type / Status
Subject ǃXóõ E124869 entity
Predicate alternateName P39 FINISHED
Object Taa
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.
E538823 NE FINISHED

How this triple was built (4 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: [ǃXóõ, alternateName, Taa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taa
Context triple: [ǃXóõ, alternateName, Taa]
  • A. TAA
    TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
  • B. Daa
    Daa is a Norwegian surname most notably associated with Ludvig Kristensen Daa, a 19th-century historian, politician, and cultural figure.
  • C. Taaqtam
    Taaqtam is the self-designated name of the Serrano people, an Indigenous group native to the inland regions of Southern California.
  • D. TTA
    TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
  • E. Tai
    Tai is an ethnic subgroup of the Ogoni people in Nigeria, known for its distinct cultural identity within the broader Ogoni community.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Taa
Triple: [ǃXóõ, alternateName, Taa]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taa
Target entity description: 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.
  • A. TAA
    TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
  • B. Daa
    Daa is a Norwegian surname most notably associated with Ludvig Kristensen Daa, a 19th-century historian, politician, and cultural figure.
  • C. Taaqtam
    Taaqtam is the self-designated name of the Serrano people, an Indigenous group native to the inland regions of Southern California.
  • D. TTA
    TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
  • E. Tai
    Tai is an ethnic subgroup of the Ogoni people in Nigeria, known for its distinct cultural identity within the broader Ogoni community.
  • F. None of above. chosen

Provenance (5 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02345004081908858867be48d3885 completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04dad0af4819088280f2d97173e9e completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c056a981f881908663c315fe2db829 completed March 22, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69c0573ca734819098de3376ff93c309 completed March 22, 2026, 8:55 p.m.
Created at: March 22, 2026, 3:43 p.m.