Triple
T22555197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air and Space Campaign Medal |
E557661
|
entity |
| Predicate | ribbonIncluded |
P30718
|
FINISHED |
| Object | Air and Space Campaign Medal ribbon |
—
|
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: Air and Space Campaign Medal ribbon | Statement: [Air and Space Campaign Medal, ribbonIncluded, Air and Space Campaign Medal ribbon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ribbonIncluded Context triple: [Air and Space Campaign Medal, ribbonIncluded, Air and Space Campaign Medal ribbon]
-
A.
ribbonRepresents
Indicates that a ribbon symbolically stands for, signifies, or is used to represent something (such as a cause, concept, or affiliation).
-
B.
ribbonType
chosen
Indicates the specific kind or category of ribbon associated with an entity.
-
C.
fareIncludes
Indicates that a given fare covers or contains specific components, services, or conditions as part of its overall offering.
-
D.
ticketIncludes
Indicates that a particular ticket grants access to, contains, or covers the specified item, service, or component.
-
E.
ribbonName
Indicates the specific name or label assigned to a ribbon within a system or context.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f78d8288190871d54db0a7f454b |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:52 p.m.