Triple
T25401059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoeburyness railway station |
E636417
|
entity |
| Predicate | terminatesServicesFrom |
P157585
|
FINISHED |
| Object | London Fenchurch Street |
—
|
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: London Fenchurch Street | Statement: [Shoeburyness railway station, terminatesServicesFrom, London Fenchurch Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminatesServicesFrom Context triple: [Shoeburyness railway station, terminatesServicesFrom, London Fenchurch Street]
-
A.
terminatesInterface
Indicates that one entity ends, closes, or brings to completion the interface provided or used by another entity.
-
B.
isTerminusForServicesOperatedBy
chosen
Indicates that a location serves as the final stopping point or endpoint for services operated by a specified provider or operator.
-
C.
terminatesFor
Indicates that one entity causes or marks the ending or cessation of another entity, process, or state.
-
D.
servesStop
Indicates that a transportation route or service includes a particular stop as one of its locations where it picks up or drops off passengers.
-
E.
canTerminate
Indicates that one entity has the authority or ability to end or discontinue another entity, process, or relationship.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f584fa51c481909a8f11b41f2b1d30 |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 1:52 p.m.