Triple
T22617900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Ghana |
E558195
|
entity |
| Predicate | blackStarRepresents |
P148952
|
FINISHED |
| Object | African emancipation |
—
|
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: African emancipation | Statement: [coat of arms of Ghana, blackStarRepresents, African emancipation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blackStarRepresents Context triple: [coat of arms of Ghana, blackStarRepresents, African emancipation]
-
A.
whiteStarRepresents
Indicates that a white star symbol is used to stand for, denote, or signify a particular entity, concept, or status.
-
B.
largeStarRepresents
Indicates that a large star symbol is used to stand for or denote a particular entity, concept, or value.
-
C.
blueRepresents
Indicates that the color blue is used to symbolize, denote, or stand for a particular concept, state, or category in a given context.
-
D.
starPointRepresents
Indicates that a specific star point symbol or marker is used to represent or denote another entity, feature, or value.
-
E.
starIs
Indicates that one entity is identified or classified as a star in relation to another entity or context.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f167ef7a148190870334af9c8b79a4 |
completed | April 29, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 2:59 p.m.