Triple
T4430069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coast Guard Distinguished Service Medal |
E95303
|
entity |
| Predicate | isNonCombatDecoration |
P55953
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Coast Guard Distinguished Service Medal, isNonCombatDecoration, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonCombatDecoration Context triple: [Coast Guard Distinguished Service Medal, isNonCombatDecoration, true]
-
A.
isCombatDecoration
Indicates that an award or decoration is specifically given for participation or valor in combat or military conflict.
-
B.
isCombatOnlyDecoration
Indicates that the object serves purely decorative purposes and is only visible or relevant during combat, without affecting gameplay outside combat.
-
C.
isNonMilitaryDecoration
Indicates that an honor or award is a decoration that is not associated with military service or military institutions.
-
D.
isWearableDecoration
Indicates that one entity serves as a decorative item intended to be worn on the body by another entity.
-
E.
typeOfDecoration
Indicates the specific kind or style of decoration associated with an entity or applied in a given context.
- F. None of above. chosen
Provenance (4 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35569b3388190bdef2568f5dc04ce |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:30 p.m.