Triple
T15986372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Sprints |
E387704
|
entity |
| Predicate | laneFormat |
P83805
|
FINISHED |
| Object | multi-lane |
—
|
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: multi-lane | Statement: [Eastern Sprints, laneFormat, multi-lane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laneFormat Context triple: [Eastern Sprints, laneFormat, multi-lane]
-
A.
laneSurface
Indicates the type or condition of the surface that makes up a lane used for travel or traffic.
-
B.
laneStructure
chosen
Indicates the structural organization and configuration of lanes within a roadway or traffic facility.
-
C.
registrationPlateFormat
Indicates the specific pattern or structure that a vehicle’s registration plate must follow (such as the arrangement of letters, numbers, and symbols).
-
D.
runwayFormat
Indicates the specific physical configuration or layout type of a runway used for takeoff and landing.
-
E.
laneCount
Indicates the number of parallel lanes associated with a given road or roadway segment.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.