Triple
T10944500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Park station |
E258558
|
entity |
| Predicate | isEastEndStation |
P81210
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Victoria Park station, isEastEndStation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEastEndStation Context triple: [Victoria Park station, isEastEndStation, yes]
-
A.
hasEndpointStation
Indicates that something (such as a route, line, or service) has a specific station as one of its terminal endpoints.
-
B.
isAdjacentStationOnJubileeLine
Indicates that two stations are directly next to each other as consecutive stops on the Jubilee Line.
-
C.
isEasternmostSubwayStationOn
chosen
Indicates that a subway station is the geographically farthest east station located on a given subway line.
-
D.
isCityCentreStop
Indicates that a stop is located within or serves the central area of a city.
-
E.
isKeyCommuterStation
Indicates that a station functions as a major hub for regular commuter traffic, serving as a primary access or transfer point for daily travelers.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c4d59481908a5900fc8cf9ecc3 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.