Triple
T4079660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combat Infantryman Badge |
E87445
|
entity |
| Predicate | notAwardedTo |
P50612
|
FINISHED |
| Object | support personnel outside infantry and Special Forces |
—
|
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: support personnel outside infantry and Special Forces | Statement: [Combat Infantryman Badge, notAwardedTo, support personnel outside infantry and Special Forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notAwardedTo Context triple: [Combat Infantryman Badge, notAwardedTo, support personnel outside infantry and Special Forces]
-
A.
notAwardedFor
Indicates that a particular award, prize, or honor was explicitly not given in recognition of a specified work, achievement, or entity.
-
B.
notAwardedIn
Indicates that a particular award or recognition was not given to an entity within a specified context, such as a year, event, or category.
-
C.
rejectedAward
Indicates that an entity refused to accept or declined an award that was offered or granted to it.
-
D.
nonEligibility
chosen
Indicates that an entity does not meet the required conditions or criteria to qualify for a specified status, benefit, or action.
-
E.
hasAwarded
Indicates that one entity has given or conferred an award to 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc5087b081909d6042bfe8d8a306 |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.