Triple
T22236184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Armed Forces Medal for International Operations |
E549598
|
entity |
| Predicate | ribbonRepresents |
P146847
|
FINISHED |
| Object | service in international operations |
—
|
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: service in international operations | Statement: [Norwegian Armed Forces Medal for International Operations, ribbonRepresents, service in international operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ribbonRepresents Context triple: [Norwegian Armed Forces Medal for International Operations, ribbonRepresents, service in international operations]
-
A.
ribbonName
Indicates the specific name or label assigned to a ribbon within a system or context.
-
B.
ribbonType
Indicates the specific kind or category of ribbon associated with an entity.
-
C.
rimRepresents
Indicates that one entity serves as a representation, model, or stand-in for another entity within a specific context or system.
-
D.
ribbonInscription
Indicates that a ribbon bears or displays a particular inscription or text.
-
E.
ribbonPosition
Indicates the spatial or ordered placement of a ribbon relative to a reference object or coordinate system.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf7b1d8819091087dcfdb2e967c |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e7222e74248190a2d3671049f117f2 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:38 p.m.