Triple
T26120276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rathkeale |
E658944
|
entity |
| Predicate | formerlyHadTransport |
P101439
|
FINISHED |
| Object | Rathkeale railway station |
—
|
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: Rathkeale railway station | Statement: [Rathkeale, formerlyHadTransport, Rathkeale railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerlyHadTransport Context triple: [Rathkeale, formerlyHadTransport, Rathkeale railway station]
-
A.
formerTransport
chosen
Indicates that an entity previously served as a means of transportation for another entity but no longer does so.
-
B.
previousTransport
Indicates that one entity served as the immediately preceding mode or instance of transport for another entity in a sequence of movements or journeys.
-
C.
usedAsVehicleFor
Indicates that one entity functions as a means of transportation or conveyance for another entity.
-
D.
hasTransportationAbove
Indicates that one entity provides or has transportation infrastructure or services located above another entity (e.g., elevated roads, railways, or transit lines).
-
E.
hasFormerDriver
Indicates that an entity previously served as a driver for another entity but no longer holds that role.
- 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_69ee5bc2b2948190b458ad3f580af779 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 26, 2026, 8:08 p.m.