Triple
T11420176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley-Davidson LiveWire |
E270597
|
entity |
| Predicate | rangeHighwayApprox |
P99210
|
FINISHED |
| Object | 70 miles |
—
|
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: 70 miles | Statement: [Harley-Davidson LiveWire, rangeHighwayApprox, 70 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeHighwayApprox Context triple: [Harley-Davidson LiveWire, rangeHighwayApprox, 70 miles]
-
A.
approximateDistanceFromHighway1
Indicates the estimated distance between a location and Highway 1, rather than an exact measured value.
-
B.
nearbyHighwayMilepost
Indicates that one entity is located close to a specific highway milepost associated with another entity.
-
C.
connectsToHighway
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
D.
motorwayJunctionNearby
Indicates that a motorway junction is located close to the referenced entity.
-
E.
hasMajorHighway
Indicates that a location or area is served by or directly connected to a major highway route.
- F. None of above. chosen
Provenance (4 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b20ce08190befc98379b879985 |
completed | April 9, 2026, 7:44 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:34 p.m.