Triple
T6865353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prisoner of War Medal |
E158386
|
entity |
| Predicate | isMilitaryAwardFor |
P74194
|
FINISHED |
| Object | captivity |
—
|
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: captivity | Statement: [Prisoner of War Medal, isMilitaryAwardFor, captivity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMilitaryAwardFor Context triple: [Prisoner of War Medal, isMilitaryAwardFor, captivity]
-
A.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
B.
militaryAwardType
Indicates the specific category or kind of military honor or decoration associated with an award.
-
C.
isGallantryAward
Indicates that the subject is a formal gallantry award, i.e., an honor conferred in recognition of exceptional bravery or valor.
-
D.
isMilitaryDecorationOf
Indicates that something is a military award or honor that has been conferred upon a particular person, unit, or entity.
-
E.
isCivilianAward
Indicates that an award is designated for civilians rather than military or combat-related recipients.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6da3b5510819093c5893ea92ac025 |
completed | March 27, 2026, 7:27 p.m. |
Created at: March 27, 2026, 2:21 p.m.