Triple
T9408988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Light Train |
E226658
|
entity |
| Predicate | hasVehicleProperty |
P67070
|
FINISHED |
| Object | low axle load |
—
|
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: low axle load | Statement: [Light Train, hasVehicleProperty, low axle load]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVehicleProperty Context triple: [Light Train, hasVehicleProperty, low axle load]
-
A.
hasVehicleFeature
chosen
Indicates that a vehicle possesses, includes, or is equipped with a specific feature or characteristic.
-
B.
hasVehicle
Indicates that one entity possesses, owns, or is assigned a vehicle.
-
C.
hasVehicleAccess
Indicates that an entity is permitted to use or enter a particular vehicle.
-
D.
hasChassisType
Indicates that an entity is associated with or equipped with a specific type of chassis.
-
E.
hasPrimaryVehicularAccessTo
Indicates that one location or entity serves as the main route or means by which vehicles can reach or enter another location or entity.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd52547f0c81908ed4f53b9f05ebaa |
completed | April 1, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:47 p.m.