Triple
T14824800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coronation Drive |
E348542
|
entity |
| Predicate | isArterialRoad |
P29360
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Coronation Drive, isArterialRoad, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isArterialRoad Context triple: [Coronation Drive, isArterialRoad, true]
-
A.
hasArterialRoad
Indicates that one location or area is connected to or served by a major arterial road used for primary traffic flow.
-
B.
isMajorArterialFor
Indicates that something functions as a primary high-capacity route or conduit serving as a main channel for movement, flow, or traffic for something else.
-
C.
isMainRoad
Indicates that a road serves as a primary or major thoroughfare within a transportation network.
-
D.
isMajorRoadIn
chosen
Indicates that a road is classified as a major road within a specified geographic area or jurisdiction.
-
E.
isInnerCityRoad
Indicates that a road is located within and primarily serves the inner (central, densely built-up) area of a city.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe7a8dc8190bcb5ecfa1cbf1601 |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:51 a.m.