Triple
T29604944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavlovo Bus Factory |
E754551
|
entity |
| Predicate | vehicleSizeRange |
P168158
|
FINISHED |
| Object | small to medium capacity buses |
—
|
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: small to medium capacity buses | Statement: [Pavlovo Bus Factory, vehicleSizeRange, small to medium capacity buses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleSizeRange Context triple: [Pavlovo Bus Factory, vehicleSizeRange, small to medium capacity buses]
-
A.
vehicleStandard
Indicates that something complies with, or is defined according to, a specified vehicle-related standard or regulatory specification.
-
B.
usesCarWidth
Indicates that one entity determines, measures, or constrains something based on the width of a car.
-
C.
vehicleDeckCapacity
Indicates the maximum number or volume of vehicles that a deck is designed to accommodate.
-
D.
carWidth
Indicates the measurement of how wide a car is across its lateral (side-to-side) dimension.
-
E.
vehicleType
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 6:24 p.m.