Triple
T22555202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air and Space Campaign Medal |
E557661
|
entity |
| Predicate | confersRightTo |
P50360
|
FINISHED |
| Object | wear on U.S. military 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: wear on U.S. military uniform | Statement: [Air and Space Campaign Medal, confersRightTo, wear on U.S. military uniform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confersRightTo Context triple: [Air and Space Campaign Medal, confersRightTo, wear on U.S. military uniform]
-
A.
establishesRight
Indicates that one entity creates or confers a legal or formal entitlement or privilege upon another entity.
-
B.
confersOnHolder
chosen
Indicates that something grants, bestows, or gives a right, benefit, or status to the entity that holds it.
-
C.
confersToMembers
Indicates that something grants or bestows a benefit, right, or attribute to the members of a specified group.
-
D.
believedToGrant
Indicates that something is thought or assumed to provide, confer, or bestow a particular benefit, quality, or effect.
-
E.
acquiredRightsTo
Indicates that one entity has obtained legal or contractual ownership, control, or usage rights over something previously held by another entity.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f78d8288190871d54db0a7f454b |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:52 p.m.