Triple
T9454413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordic cross |
E227978
|
entity |
| Predicate | colorPlacement |
P88264
|
FINISHED |
| Object | cross color contrasts with field color |
—
|
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: cross color contrasts with field color | Statement: [Nordic cross, colorPlacement, cross color contrasts with field color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorPlacement Context triple: [Nordic cross, colorPlacement, cross color contrasts with field color]
-
A.
colorDisplay
Indicates that one entity presents, shows, or renders the color associated with another entity.
-
B.
colorTreatment
Indicates that an entity has undergone a process or action that changes, enhances, or assigns its color.
-
C.
logoPlacement
Indicates the spatial or contextual position where a logo is displayed or applied in relation to another object, surface, or medium.
-
D.
colorDesignationInName
Indicates that a color term is explicitly included as part of an entity’s name or title.
-
E.
colorSystem
Indicates that one entity is a system or scheme used to define, organize, or represent the colors of another 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f8e2c388190a4c5ee6e6d5f2585 |
completed | April 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:52 p.m.