Triple
T6499713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M96 motorway |
E148852
|
entity |
| Predicate | hasRoadMarkings |
P51959
|
FINISHED |
| Object | motorway-style markings |
—
|
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: motorway-style markings | Statement: [M96 motorway, hasRoadMarkings, motorway-style markings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadMarkings Context triple: [M96 motorway, hasRoadMarkings, motorway-style markings]
-
A.
colorOfTrailMarkings
Indicates the relationship specifying what color the trail’s markings are.
-
B.
hasFloorMarkings
chosen
Indicates that an entity features visible markings or lines on its floor surface, typically used for guidance, organization, or safety.
-
C.
hasRoadSign
Indicates that one entity possesses, displays, or is associated with a particular road sign.
-
D.
hasRoadStandard
Indicates that a road or roadway segment conforms to, or is governed by, a specific road design, construction, or operational standard.
-
E.
hasRunwayMarkings
Indicates that a runway possesses specific painted markings or symbols on its surface.
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:42 p.m.