Triple
T8110229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GO Transit commuter rail lines (Lakeshore East and Stouffville corridors) |
E189329
|
entity |
| Predicate | primaryLocomotives |
P12267
|
FINISHED |
| Object | diesel-electric locomotives |
—
|
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: diesel-electric locomotives | Statement: [GO Transit commuter rail lines (Lakeshore East and Stouffville corridors), primaryLocomotives, diesel-electric locomotives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLocomotives Context triple: [GO Transit commuter rail lines (Lakeshore East and Stouffville corridors), primaryLocomotives, diesel-electric locomotives]
-
A.
hasLocomotive
chosen
Indicates that one entity possesses or is equipped with a locomotive as part of its composition or operation.
-
B.
locomotiveWorks
Indicates a relationship where an entity is a facility or company that builds, repairs, or maintains locomotives.
-
C.
openingLocomotive
Indicates that an entity serves as the leading locomotive at the front of a train consist.
-
D.
pursuitLocomotive
Indicates engaging in locomotion specifically aimed at following or chasing another entity.
-
E.
locomotiveConfiguration
Indicates the specific arrangement and type of power and running units (e.g., wheel or axle layout) that define how a locomotive is configured.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
Created at: March 30, 2026, 5:32 p.m.