Triple
T4085115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R68 subway car |
E87570
|
entity |
| Predicate | carConfiguration |
P8159
|
FINISHED |
| Object | 4-car unit |
—
|
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: 4-car unit | Statement: [R68 subway car, carConfiguration, 4-car unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carConfiguration Context triple: [R68 subway car, carConfiguration, 4-car unit]
-
A.
featuresVehicle
Indicates that one entity includes, presents, or prominently incorporates a particular vehicle as part of its content, composition, or offering.
-
B.
carTypeVariant
Indicates that one car type is a specific variant or version of another car type.
-
C.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
D.
vehicleStandard
Indicates that something complies with, or is defined according to, a specified vehicle-related standard or regulatory specification.
-
E.
transportCharacteristic
chosen
Indicates a relationship where a specific characteristic, property, or feature is attributed to a mode or instance of transport.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7b7cc4819089cfbf2b1c23ccc5 |
completed | March 9, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.