Triple
T388097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican national coat of arms |
E8820
|
entity |
| Predicate | wreath |
P8228
|
FINISHED |
| Object | oak and laurel branches tied with a ribbon in the national colors |
—
|
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: oak and laurel branches tied with a ribbon in the national colors | Statement: [Mexican national coat of arms, wreath, oak and laurel branches tied with a ribbon in the national colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wreath Context triple: [Mexican national coat of arms, wreath, oak and laurel branches tied with a ribbon in the national colors]
-
A.
crownedWith
Indicates that one entity serves as a crown, top, or decorative upper covering placed upon another entity.
-
B.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
C.
roundel
Indicates that one entity bears, displays, or is marked with a circular emblem or symbol representing another entity.
-
D.
decorations
chosen
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
E.
crest
Indicates reaching the highest point or peak of something, such as a wave, hill, or trend, before it begins to decline.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5828d881909e8810061c02480c |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e967d84c8190a6b647f78d95d4e4 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.