Triple
T6422050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hastings railway station |
E127965
|
entity |
| Predicate | isThroughStationFor |
P32039
|
FINISHED |
| Object | services on the East Coastway line |
—
|
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: services on the East Coastway line | Statement: [Hastings railway station, isThroughStationFor, services on the East Coastway line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isThroughStationFor Context triple: [Hastings railway station, isThroughStationFor, services on the East Coastway line]
-
A.
servesAsThroughStationFor
chosen
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.
-
B.
isPassengerStationCode
Indicates that a given code is officially assigned to identify a particular passenger station.
-
C.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
D.
hasIntermediateStation
Indicates that a route, journey, or connection includes a station that lies between its starting point and its final destination.
-
E.
connectsAtStation
Indicates that one transportation service or route links to another at a specific station, allowing passengers to transfer between them there.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06903f67c8190a1e5babeede4e183 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:43 p.m.