Triple
T32185787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PO2 |
E822104
|
entity |
| Predicate | wearsUniformInsigniaOn |
P98837
|
FINISHED |
| Object | sleeves |
—
|
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: sleeves | Statement: [PO2, wearsUniformInsigniaOn, sleeves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearsUniformInsigniaOn Context triple: [PO2, wearsUniformInsigniaOn, sleeves]
-
A.
wearsInsigniaAt
chosen
Indicates that an entity is wearing or displaying a particular insignia at a specified location or point in time.
-
B.
wearsUniformColor
Indicates that an entity regularly uses or is associated with a specific uniform color as part of its standard attire or dress code.
-
C.
wearsSpecialUniforms
Indicates that an entity regularly wears distinctive or non-standard uniforms associated with a particular role, group, or occasion.
-
D.
wearsUniformSimilarTo
Indicates that one entity wears a uniform that is similar in appearance or style to the uniform worn by another entity.
-
E.
wearsOnUniform
Indicates that an item is part of and is worn as a component of a uniform.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6babadb3481908b49400b3ab42a7c |
completed | May 3, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.