Triple
T6087577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cross of the Order of Isabella the Catholic |
E135676
|
entity |
| Predicate | orderRibbonColor |
P68573
|
FINISHED |
| Object | yellow |
—
|
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: yellow | Statement: [Grand Cross of the Order of Isabella the Catholic, orderRibbonColor, yellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderRibbonColor Context triple: [Grand Cross of the Order of Isabella the Catholic, orderRibbonColor, yellow]
-
A.
ribbonStripeColor
Indicates the color of a stripe on a ribbon in the relationship or depiction being described.
-
B.
berryColor
Indicates the color attribute associated with a berry.
-
C.
strapColor
Indicates the color attribute of a strap associated with an entity.
-
D.
rightStripeColour
Indicates that one entity has a stripe on its right side whose colour is specified or related to the other entity.
-
E.
robeColour
Indicates the color attribute associated with a robe worn by an entity.
- 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_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. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:12 p.m.