Triple
T17635485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ropley railway station |
E430081
|
entity |
| Predicate | hasSecondaryTractionType |
P64090
|
FINISHED |
| Object | heritage diesel |
—
|
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: heritage diesel | Statement: [Ropley railway station, hasSecondaryTractionType, heritage diesel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryTractionType Context triple: [Ropley railway station, hasSecondaryTractionType, heritage diesel]
-
A.
secondaryTraction
chosen
Indicates a supporting or additional influence, pull, or driving force that complements a primary source of traction or momentum in a relationship or process.
-
B.
usedTractionType
Indicates the type of traction or drive mechanism that was employed in performing the action or operating the entity.
-
C.
hasSecondary
Indicates that an entity is associated with an additional or subordinate counterpart beyond its primary one.
-
D.
hasTrailingWheelArrangement
Indicates that an entity (typically a vehicle) possesses a specific configuration of wheels located at its rear or trailing end.
-
E.
hasSecondaryTransportationMode
Indicates that an entity is associated with an additional, non-primary mode of transportation it can use or provide.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de0ad988190b1a2c0bff69eb9f1 |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:52 a.m.