Triple
T4748970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President's Hundred brassard |
E105430
|
entity |
| Predicate | wearRegulationStatus |
P56503
|
FINISHED |
| Object | authorized for wear on the uniform |
—
|
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: authorized for wear on the uniform | Statement: [President's Hundred brassard, wearRegulationStatus, authorized for wear on the uniform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearRegulationStatus Context triple: [President's Hundred brassard, wearRegulationStatus, authorized for wear on the uniform]
-
A.
wearRegulation
chosen
Indicates that an entity is subject to and follows specific rules or standards governing what it wears.
-
B.
wearAuthorizedFor
Indicates that an entity is permitted or authorized to wear a specified item (such as clothing, equipment, or insignia).
-
C.
wearerStatus
Indicates the condition or role of an entity in its capacity as a wearer of something (e.g., clothing, equipment, or an accessory).
-
D.
wearAuthorizedBy
Indicates that one entity’s wearing or use of an item (such as clothing, uniform, or equipment) is permitted or approved by another entity.
-
E.
wearLocation
Indicates the typical body part or location on which an item is worn.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c6f5ac81908a62f9c17e77ac86 |
completed | March 20, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.