Triple
T32216408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E-road |
E822935
|
entity |
| Predicate | hasSignTextColor |
P37450
|
FINISHED |
| Object | white text |
—
|
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 text | Statement: [European route E-road, hasSignTextColor, white text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignTextColor Context triple: [European route E-road, hasSignTextColor, white text]
-
A.
signageTextColor
chosen
Indicates the color used for the text displayed on a sign.
-
B.
signatureColor
Indicates that an entity has a characteristic or defining color that is uniquely or primarily associated with it.
-
C.
hasNationalSignageColor
Indicates that an entity uses a particular color (or set of colors) as its officially designated national signage color scheme.
-
D.
usesSignageColorSystem
Indicates that an entity employs a specific color-based signage system to convey information, instructions, or guidance.
-
E.
hasSign
Indicates that an entity possesses, displays, or is associated with a particular sign or symbol.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 1, 2026, 12:37 a.m.