Triple
T5566524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarvottam Yudh Seva Medal |
E145892
|
entity |
| Predicate | ribbonDescription |
P35894
|
FINISHED |
| Object | golden yellow ribbon with a central dark green stripe |
—
|
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: golden yellow ribbon with a central dark green stripe | Statement: [Sarvottam Yudh Seva Medal, ribbonDescription, golden yellow ribbon with a central dark green stripe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ribbonDescription Context triple: [Sarvottam Yudh Seva Medal, ribbonDescription, golden yellow ribbon with a central dark green stripe]
-
A.
ribbonType
Indicates the specific kind or category of ribbon associated with an entity.
-
B.
ribbonDesignFeature
chosen
Indicates a design-related characteristic or attribute that is specifically associated with a ribbon.
-
C.
ribbonDevice
Indicates a relationship where an entity functions as, or is associated with, a ribbon-based device or mechanism.
-
D.
ribbonWidth
Indicates the measurement of how wide a ribbon is across its narrow dimension.
-
E.
ribbonHasStripe
Indicates that a ribbon features one or more stripes as part of its pattern or design.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02034fc3081908920c52a19d462e1 |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.