Triple
T4830869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NPB All-Star Game |
E107940
|
entity |
| Predicate | hasUniforms |
P2930
|
FINISHED |
| Object | special All-Star uniforms |
—
|
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: special All-Star uniforms | Statement: [NPB All-Star Game, hasUniforms, special All-Star uniforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUniforms Context triple: [NPB All-Star Game, hasUniforms, special All-Star uniforms]
-
A.
usesUniform
chosen
Indicates that one entity regularly wears or employs a standardized set of clothing or equipment designated as a uniform.
-
B.
usedUniformColor
Indicates that multiple entities share or employed the same uniform color in a given context.
-
C.
hasFBO
Indicates that one entity has a specified Foreign/Final Beneficial Owner (FBO) associated with it.
-
D.
usesTexture
Indicates that one entity employs or incorporates the texture of another entity in its appearance, design, or representation.
-
E.
hasCosmetics
Indicates that one entity possesses, uses, or is associated with cosmetic products or beauty-related items in relation to another entity or context.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.