Triple
T11643158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khoe–Kwadi language family |
E276708
|
entity |
| Predicate | uncertaintyReason |
P88916
|
FINISHED |
| Object | limited data for Kwadi |
—
|
LITERAL 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: limited data for Kwadi | Statement: [Khoe–Kwadi language family, uncertaintyReason, limited data for Kwadi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uncertaintyReason Context triple: [Khoe–Kwadi language family, uncertaintyReason, limited data for Kwadi]
-
A.
hasUncertaintyReason
chosen
Indicates that there is a specific reason or explanation for why something is uncertain or not known with confidence.
-
B.
hasUncertainty
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
-
C.
uncertainty
Indicates that there is doubt, lack of sureness, or incomplete confidence about a fact, outcome, or state of affairs in the relationship or situation described.
-
D.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
E.
stabilityReason
Indicates the factor, condition, or cause that accounts for why something remains stable or unchanged.
- F. None of above.
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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cb4ca88190a9322f08416d3974 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.