Triple
T29847156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodmansterne railway station |
E757959
|
entity |
| Predicate | toCentralLondonTerminus |
P146904
|
FINISHED |
| Object | London Victoria |
—
|
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 Victoria | Statement: [Woodmansterne railway station, toCentralLondonTerminus, London Victoria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toCentralLondonTerminus Context triple: [Woodmansterne railway station, toCentralLondonTerminus, London Victoria]
-
A.
toCentralLondonVia
Indicates that something (such as a route, service, or connection) leads or travels to Central London by way of a specified path, mode, or intermediary location.
-
B.
hasTerminusInCentralLondon
chosen
Indicates that the route, service, or line ends at a terminal point located within Central London.
-
C.
primaryLondonTerminal
Indicates that a given station serves as the main London terminal for a particular rail service or route.
-
D.
originalLondonTerminusLocation
Indicates the location of an entity’s original terminus station in London.
-
E.
secondaryLondonTerminal
Indicates that a location serves as a secondary terminal in London associated with a primary London terminal for a given service or route.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6764489c881909618ff635fe6c410 |
completed | May 2, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 5:42 p.m.