Triple
T27873629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GE Dash 7 series locomotives |
E704866
|
entity |
| Predicate | locomotiveSeriesIncludes |
P86157
|
FINISHED |
| Object | GE B36-7 |
—
|
NE NERFINISHED |
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: GE B36-7 | Statement: [GE Dash 7 series locomotives, locomotiveSeriesIncludes, GE B36-7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locomotiveSeriesIncludes Context triple: [GE Dash 7 series locomotives, locomotiveSeriesIncludes, GE B36-7]
-
A.
usedInLocomotiveSeries
Indicates that something is employed or implemented within a particular locomotive series.
-
B.
notableLocomotiveModels
chosen
Indicates a relationship where specific locomotive models are recognized as notable or significant examples associated with an entity (such as a manufacturer, railway, or time period).
-
C.
locomotiveTypeHandled
Indicates the type of locomotive that is managed, operated, or otherwise dealt with in a given context or operation.
-
D.
laterLocomotiveType
Indicates that one locomotive type succeeds or comes after another in time, representing a later development or version in locomotive design.
-
E.
locomotiveWorks
Indicates a relationship where an entity is a facility or company that builds, repairs, or maintains locomotives.
- 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 6:25 p.m.