Triple
T26285593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brynseng |
E661128
|
entity |
| Predicate | nearbyTransportNode |
P96747
|
FINISHED |
| Object | Bryn 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: Bryn railway station | Statement: [Brynseng, nearbyTransportNode, Bryn railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyTransportNode Context triple: [Brynseng, nearbyTransportNode, Bryn railway station]
-
A.
transportationNearby
Indicates that there is a transportation facility or service located close to the referenced entity.
-
B.
operatorOfNearbyTransit
Indicates that an entity operates or manages a public transit service located in close geographic proximity to another specified entity.
-
C.
nearInternationalTransportHub
Indicates that one entity is located close to a major international transportation hub, such as an airport, seaport, or central rail terminal.
-
D.
nearestMajorTransportHub
Indicates that one location is the closest significant transportation center (such as a major train station, airport, or bus terminal) to another location.
-
E.
hasNearbyTransportationCorridor
chosen
Indicates that an entity is located close to a significant transportation route or corridor, such as a road, railway, or transit line.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 26, 2026, 10:04 p.m.