Triple
T4079673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World War II CIB |
E87446
|
entity |
| Predicate | militaryAwardType |
P52884
|
FINISHED |
| Object | combat badge |
—
|
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: combat badge | Statement: [World War II CIB, militaryAwardType, combat badge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryAwardType Context triple: [World War II CIB, militaryAwardType, combat badge]
-
A.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
B.
isMilitaryDecorationOf
Indicates that something is a military award or honor that has been conferred upon a particular person, unit, or entity.
-
C.
isCivilianAward
Indicates that an award is designated for civilians rather than military or combat-related recipients.
-
D.
peacetimeAward
Indicates that an award or honor is given during a period of peace rather than during wartime or active conflict.
-
E.
wartimeAward
Indicates that an entity received an award or honor specifically in the context of wartime or military 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc5087b081909d6042bfe8d8a306 |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9b34dec81909bbc3def9decc71a |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:39 p.m.