Triple
T27991724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manea railway station |
E706896
|
entity |
| Predicate | betweenStations |
P53807
|
FINISHED |
| Object | Ely 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: Ely railway station | Statement: [Manea railway station, betweenStations, Ely railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: betweenStations Context triple: [Manea railway station, betweenStations, Ely railway station]
-
A.
betweenStation
chosen
Indicates a relationship where something (such as a route, segment, or connection) lies or operates between two stations.
-
B.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
-
C.
operatedBetweenStations
Indicates that an operation, such as a service or route, took place connecting or running between two specified stations.
-
D.
usedBetweenStations
Indicates that something (such as a service, route, or resource) is utilized in the context of travel or operation between two stations.
-
E.
servesRailTrafficBetween
Indicates that something (typically a rail line, service, or facility) provides rail transportation connecting two or more locations.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63fd79e4c8190af9263b679e5ff07 |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 7:50 p.m.