Triple
T33041872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worboys-style road signs |
E845487
|
entity |
| Predicate | directionSignBackgroundColor |
P167815
|
FINISHED |
| Object | green for primary routes |
—
|
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: green for primary routes | Statement: [Worboys-style road signs, directionSignBackgroundColor, green for primary routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionSignBackgroundColor Context triple: [Worboys-style road signs, directionSignBackgroundColor, green for primary routes]
-
A.
roadSignColor
Indicates the color attribute associated with a particular road sign.
-
B.
backColor
chosen
Indicates the background color attribute assigned to an entity or visual element.
-
C.
bannerColor
Indicates the color associated with a banner in the relationship or context described.
-
D.
commonBackgroundColors
Indicates that two or more entities share the same or very similar background color.
-
E.
controlsBackgroundColor
Indicates that one entity determines or modifies the background color property of another entity or visual element.
- 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_69f34951348c8190b56746b0a7018182 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: May 1, 2026, 1:24 a.m.