Triple
T7606458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Commendation Medal |
E180116
|
entity |
| Predicate | campaignRibbon |
P77736
|
FINISHED |
| Object | green and white 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: green and white ribbon | Statement: [Army Commendation Medal, campaignRibbon, green and white ribbon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignRibbon Context triple: [Army Commendation Medal, campaignRibbon, green and white ribbon]
-
A.
campaignType
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
B.
campaignDecoration
Indicates that something is used as a decorative element or embellishment within the context of a campaign.
-
C.
promotionalCampaign
Indicates a relationship where one entity organizes or runs a coordinated set of marketing activities aimed at promoting another entity, product, or service.
-
D.
campaignOrService
Indicates that one entity is a campaign and the other is a service that the campaign promotes, uses, or is associated with.
-
E.
ribbonName
Indicates the specific name or label assigned to a ribbon within a system or context.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fe10408190b1c12bb8f911cea8 |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8195e5c8190835e28d44e19f6ef |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:54 p.m.