Triple
T2092576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coast Guard Unit Commendation |
E32702
|
entity |
| Predicate | canBeAwardedInWartime |
P35897
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Coast Guard Unit Commendation, canBeAwardedInWartime, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeAwardedInWartime Context triple: [Coast Guard Unit Commendation, canBeAwardedInWartime, yes]
-
A.
wartimeAward
Indicates that an entity received an award or honor specifically in the context of wartime or military conflict.
-
B.
peacetimeAward
Indicates that an award or honor is given during a period of peace rather than during wartime or active conflict.
-
C.
isCivilianAward
Indicates that an award is designated for civilians rather than military or combat-related recipients.
-
D.
statusDuringWar
Indicates the role, condition, or classification an entity held specifically during a period of war.
-
E.
wartimeUse
Indicates that something is used or employed during a period of war or armed conflict.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba774ca881909f83cf65ffeb24bb |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b6274081909df36cd7a7c6a675 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abba2e65b48190bb19cfc4b0f8c462 |
completed | March 7, 2026, 5:39 a.m. |
Created at: March 4, 2026, 7:43 p.m.