Triple
T10159852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Britain B roads |
E233859
|
entity |
| Predicate | signColour |
P37450
|
FINISHED |
| Object | white text on green background for direction signs |
—
|
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 on green background for direction signs | Statement: [Great Britain B roads, signColour, white text on green background for direction signs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signColour Context triple: [Great Britain B roads, signColour, white text on green background for direction signs]
-
A.
signatureColor
Indicates that an entity has a characteristic or defining color that is uniquely or primarily associated with it.
-
B.
signageTextColor
chosen
Indicates the color used for the text displayed on a sign.
-
C.
roadSignColor
Indicates the color attribute associated with a particular road sign.
-
D.
signType
Indicates the specific category or kind of sign involved in the relationship or action.
-
E.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5831e481909b48fdfa8f1c670b |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.