Triple
T2092522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Valorous Unit Award |
E32701
|
entity |
| Predicate | ribbonDesignFeature |
P35894
|
FINISHED |
| Object | gold frame |
—
|
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: gold frame | Statement: [Army Valorous Unit Award, ribbonDesignFeature, gold frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ribbonDesignFeature Context triple: [Army Valorous Unit Award, ribbonDesignFeature, gold frame]
-
A.
ribbonType
Indicates the specific kind or category of ribbon associated with an entity.
-
B.
ribbonHasStripe
Indicates that a ribbon features one or more stripes as part of its pattern or design.
-
C.
ribbonAdditionalStripes
Indicates that additional stripes are present on a ribbon beyond its primary or standard design.
-
D.
ribbonDevice
Indicates a relationship where an entity functions as, or is associated with, a ribbon-based device or mechanism.
-
E.
ribbonStripeColor
Indicates the color of a stripe on a ribbon in the relationship or depiction being described.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba774ca881909f83cf65ffeb24bb |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b6274081909df36cd7a7c6a675 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abba2e65b48190bb19cfc4b0f8c462 |
completed | March 7, 2026, 5:39 a.m. |
Created at: March 4, 2026, 7:43 p.m.