Triple
T17718980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coast Guard Medal |
E442279
|
entity |
| Predicate | nonCombatValor |
P27803
|
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 Medal, nonCombatValor, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonCombatValor Context triple: [Coast Guard Medal, nonCombatValor, true]
-
A.
nonCombatHeroismScope
Indicates the extent or context in which acts of heroism occur outside of direct combat or fighting situations.
-
B.
combatOrNonCombat
Indicates whether an entity is involved in combat activities or is in a non-combat role or situation.
-
C.
typeOfBravery
chosen
Indicates a specific kind or category of bravery that characterizes an entity’s courageous behavior or action.
-
D.
neutralAttackFeature
Indicates that an entity has the capability to perform an attack that is neutral, i.e., not aligned with any particular side, type, or affinity.
-
E.
opposingForce
Indicates a relationship where one entity actively resists, counters, or works against the actions, goals, or influence of 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e474844ff48190b1cf181eb9c113d9 |
completed | April 19, 2026, 6:21 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:07 a.m.