Triple
T38399575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portlaoise railway station |
E900857
|
entity |
| Predicate | hasCarriageDepotNearby |
P199649
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Portlaoise railway station, hasCarriageDepotNearby, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarriageDepotNearby Context triple: [Portlaoise railway station, hasCarriageDepotNearby, yes]
-
A.
hasBusGarageNearby
Indicates that a bus garage is located in close proximity to the referenced entity.
-
B.
hasAdjacentDepot
Indicates that one entity has a depot located directly next to or adjoining it.
-
C.
isPublicTransportDepot
Indicates that a location functions as a depot or base facility for public transportation vehicles and operations.
-
D.
hasStationNear
Indicates that one entity has a station located in close proximity to another entity.
-
E.
hasLocomotiveDepotRole
chosen
Indicates that an entity serves the function or role of a locomotive depot, such as housing, servicing, or maintaining 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_69f76e6071a081909eea7a670d21420c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00694f72888190983fee7d687a6daa |
completed | May 10, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_6a00685dbf44819098ea0c86bb9e50d8 |
completed | May 10, 2026, 11:13 a.m. |
Created at: May 3, 2026, 4:31 p.m.