Triple
T36675473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cab-forward steam locomotives |
E905529
|
entity |
| Predicate | reasonForOilFuel |
P101297
|
FINISHED |
| Object | avoid long steam pipe runs from rear fuel bunker |
—
|
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: avoid long steam pipe runs from rear fuel bunker | Statement: [Cab-forward steam locomotives, reasonForOilFuel, avoid long steam pipe runs from rear fuel bunker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForOilFuel Context triple: [Cab-forward steam locomotives, reasonForOilFuel, avoid long steam pipe runs from rear fuel bunker]
-
A.
fuelChoiceRationale
chosen
Indicates the reasoning or justification behind selecting a particular type of fuel over alternatives.
-
B.
oilType
Indicates the specific kind or classification of oil associated with an entity.
-
C.
fuelCondition
Indicates the state or quality of fuel associated with an entity, such as its level, usability, or readiness for operation.
-
D.
fuelForm
Indicates the physical or chemical form in which a fuel exists or is supplied (e.g., liquid, gas, solid).
-
E.
oilSystem
Indicates a relationship where an entity functions as, is part of, or is associated with an oil-based system used for lubrication, operation, or processing.
- 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: May 3, 2026, 4:12 p.m.