Triple
T7327038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southend Central railway station |
E168900
|
entity |
| Predicate | isTerminusForSomeServices |
P15094
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Southend Central railway station, isTerminusForSomeServices, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTerminusForSomeServices Context triple: [Southend Central railway station, isTerminusForSomeServices, true]
-
A.
servesTerminal
Indicates that one entity functions as a terminal or endpoint facility that is served or operated by another entity.
-
B.
hasTerminatingPlatforms
chosen
Indicates that the subject location or facility includes platforms where rail or transit services begin or end their routes, rather than passing through.
-
C.
hasTerminalFacility
Indicates that an entity possesses or includes a terminal facility used as an endpoint for transport, communication, or related operations.
-
D.
hasTerminusIn
Indicates that something (such as a route, line, or path) ends or has its final stopping point at a specified location.
-
E.
nonTerminusThroughService
Indicates that a service passes through a location without that location being the starting point or final terminus of the service.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a755e88190a50126e2d1d6d4cb |
completed | March 27, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69c6e77230048190b2c29ca6b3a65b8e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:03 p.m.