Triple
T11648431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | national emblem of Equatorial Guinea |
E276837
|
entity |
| Predicate | mottoTextColor |
P100175
|
FINISHED |
| Object | black |
—
|
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: black | Statement: [national emblem of Equatorial Guinea, mottoTextColor, black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mottoTextColor Context triple: [national emblem of Equatorial Guinea, mottoTextColor, black]
-
A.
mottoStyle
Indicates the stylistic form or presentation in which a motto is expressed.
-
B.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
-
C.
mottoPresent
Indicates that an entity currently has an official motto associated with it.
-
D.
mottoPromoted
Indicates that a particular motto is actively advocated, endorsed, or publicized by an entity.
-
E.
mottoEmphasizes
Indicates that a motto highlights, stresses, or gives special importance to a particular idea, value, or theme.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cd9bb0819093d107204bed2fe0 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.