Triple
T24594383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wargrave railway station |
E608621
|
entity |
| Predicate | nearbyJunctionStation |
P82238
|
FINISHED |
| Object | Twyford 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: Twyford railway station | Statement: [Wargrave railway station, nearbyJunctionStation, Twyford railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyJunctionStation Context triple: [Wargrave railway station, nearbyJunctionStation, Twyford railway station]
-
A.
nearbyHeritageStation
Indicates that one entity is located close to a heritage (historically or culturally significant) station.
-
B.
nearbyTerminus
Indicates that one terminus (end point or final stop) is located close to another terminus in space.
-
C.
nearestEntranceStation
Indicates that one station is the closest entrance station to a given location or entity compared to all other candidate stations.
-
D.
nearestSuburbanRailwayStation
Indicates the relationship where a given place is associated with the suburban railway station that is geographically closest to it.
-
E.
nearestMajorRailwayJunction
chosen
Indicates the closest significant railway junction in terms of distance from a given location or entity.
- 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.