Triple
T6087578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cross of the Order of Isabella the Catholic |
E135676
|
entity |
| Predicate | orderRibbonStripeColor |
P18548
|
FINISHED |
| Object | white |
—
|
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: white | Statement: [Grand Cross of the Order of Isabella the Catholic, orderRibbonStripeColor, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderRibbonStripeColor Context triple: [Grand Cross of the Order of Isabella the Catholic, orderRibbonStripeColor, white]
-
A.
ribbonStripeColor
chosen
Indicates the color of a stripe on a ribbon in the relationship or depiction being described.
-
B.
rightStripeColour
Indicates that one entity has a stripe on its right side whose colour is specified or related to the other entity.
-
C.
ribbonHasStripe
Indicates that a ribbon features one or more stripes as part of its pattern or design.
-
D.
topStripeColor
Indicates the color that appears on the topmost stripe of an object or pattern.
-
E.
ribbonAdditionalStripes
Indicates that additional stripes are present on a ribbon beyond its primary or standard 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0578bf2508190859c2dbd4c10b316 |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.