Triple
T23649112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashbourne Tunnel |
E584119
|
entity |
| Predicate | hasTrackbedConversion |
P153032
|
FINISHED |
| Object | railway to multi‑use trail conversion |
—
|
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: railway to multi‑use trail conversion | Statement: [Ashbourne Tunnel, hasTrackbedConversion, railway to multi‑use trail conversion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackbedConversion Context triple: [Ashbourne Tunnel, hasTrackbedConversion, railway to multi‑use trail conversion]
-
A.
hasRail
Indicates that something is equipped with, includes, or is connected to a rail or rail system.
-
B.
hasLocomotive
Indicates that one entity possesses or is equipped with a locomotive as part of its composition or operation.
-
C.
hasConveyorBeltTo
Indicates that one location, machine, or area is connected to another by a conveyor belt that transports items between them.
-
D.
hasRailwayTraction
Indicates that a railway system, line, or vehicle uses a specified type or method of traction (e.g., electric, diesel, steam) for its propulsion.
-
E.
hasRailMode
Indicates that an entity is associated with or supports transportation via rail-based modes (such as trains, trams, or subways).
- F. None of above. chosen
Provenance (4 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_69e248fefafc81909656921192f30e80 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b287606881909926de5efd882a76 |
completed | April 29, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f1233300bc8190ac1639bdca1d7d99 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 17, 2026, 6:49 p.m.