Triple
T25179966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shortlands railway station |
E630555
|
entity |
| Predicate | isSuburbanRailNode |
P30944
|
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: [Shortlands railway station, isSuburbanRailNode, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSuburbanRailNode Context triple: [Shortlands railway station, isSuburbanRailNode, true]
-
A.
isSuburbanRailIn
Indicates that a suburban rail service or line operates within or belongs to a specified geographic area or region.
-
B.
isSuburbanStationFor
Indicates that a station primarily serves a suburban area or functions as a transit hub for suburban commuters relative to a larger urban center.
-
C.
isSuburbanStationOf
chosen
Indicates that a station is located in a suburban area and functionally serves as a subsidiary or outlying station of a main or central station.
-
D.
isMajorTransitNode
Indicates that a location functions as a primary hub in a transportation network, where multiple major routes or services intersect or connect.
-
E.
isRailwayIn
Indicates that a railway is located within or passes through a specified geographic or administrative area.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46dc4c3308190b9cb0ff4cbdc08d5 |
completed | May 1, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 12:35 p.m.