Triple
T7765205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Force Cross |
E176125
|
entity |
| Predicate | isNonCampaignMedal |
P78221
|
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: [Air Force Cross, isNonCampaignMedal, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonCampaignMedal Context triple: [Air Force Cross, isNonCampaignMedal, true]
-
A.
hasMedalComponent
Indicates that something includes or is composed of a particular medal or medal-related part as one of its components.
-
B.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
C.
campaignMedalPrecedence
Indicates the ordered ranking of campaign medals relative to one another in terms of official precedence.
-
D.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
-
E.
isGallantryAward
Indicates that the subject is a formal gallantry award, i.e., an honor conferred in recognition of exceptional bravery or valor.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7043279748190b30882e9cc6cca54 |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016f4ce881909c2e9f610255187b |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c702a78edc819090c3448d33c8c381 |
completed | March 27, 2026, 10:20 p.m. |
Created at: March 27, 2026, 4:09 p.m.