Triple
T1359552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medal of Freedom (1945) |
E29066
|
entity |
| Predicate | isCivilDecoration |
P1473
|
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: [Medal of Freedom (1945), isCivilDecoration, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCivilDecoration Context triple: [Medal of Freedom (1945), isCivilDecoration, yes]
-
A.
isNonMilitaryDecoration
chosen
Indicates that an honor or award is a decoration that is not associated with military service or military institutions.
-
B.
isCombatOnlyDecoration
Indicates that the object serves purely decorative purposes and is only visible or relevant during combat, without affecting gameplay outside combat.
-
C.
typeOfDecoration
Indicates the specific kind or style of decoration associated with an entity or applied in a given context.
-
D.
isWearableDecoration
Indicates that one entity serves as a decorative item intended to be worn on the body by another entity.
-
E.
confersIndividualDecoration
Indicates that an individual is formally awarded a specific decoration, honor, or medal.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c290db288190910fcfa17e902663 |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.