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.