Triple
T1079145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ǀXam |
E23906
|
entity |
| Predicate | usedByInstitution |
P23672
|
FINISHED |
| Object | South African coat of arms motto (derived from ǀXam) |
—
|
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: South African coat of arms motto (derived from ǀXam) | Statement: [ǀXam, usedByInstitution, South African coat of arms motto (derived from ǀXam)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByInstitution Context triple: [ǀXam, usedByInstitution, South African coat of arms motto (derived from ǀXam)]
-
A.
usedByInstitutionType
Indicates that something (such as a resource, tool, or service) is utilized or employed by a particular type or category of institution.
-
B.
grantedByInstitution
Indicates that something (such as a status, permission, or resource) is conferred or authorized by an institution.
-
C.
promotedByInstitution
Indicates that an institution advances, supports, or publicizes something, contributing to its recognition, adoption, or success.
-
D.
servesInstitution
Indicates that one entity provides services or functions in support of a particular institution.
-
E.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
- F. None of above. chosen
Provenance (4 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b943b41481909b24050ca7e78971 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73d9f08819093668104f129840e |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b80f0fb08190a19a50e38ae8f16c |
completed | March 1, 2026, 10:05 p.m. |
Created at: March 1, 2026, 7:42 p.m.