Triple
T25957711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of the Comoros |
E645449
|
entity |
| Predicate | crestType |
P159601
|
FINISHED |
| Object | non-heraldic emblem |
—
|
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: non-heraldic emblem | Statement: [coat of arms of the Comoros, crestType, non-heraldic emblem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crestType Context triple: [coat of arms of the Comoros, crestType, non-heraldic emblem]
-
A.
crestFeature
Indicates that an entity possesses a notable crest-related characteristic or structural feature.
-
B.
crest
Indicates reaching the highest point or peak of something, such as a wave, hill, or trend, before it begins to decline.
-
C.
crestElement
Indicates that one entity is a crest or emblematic design element associated with, or forming part of, another entity.
-
D.
prominenceType
Indicates the specific kind or category of prominence or notability associated with an entity in a given context.
-
E.
crestMaterial
Indicates that one entity is the material from which another entity’s crest is made.
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6049fb3cc8190838f62ac732da3f7 |
completed | May 2, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:46 a.m.