Triple
T37971749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taplow railway station |
E947304
|
entity |
| Predicate | hasSuburbanServiceTo |
P202340
|
FINISHED |
| Object | London Paddington |
—
|
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 Paddington | Statement: [Taplow railway station, hasSuburbanServiceTo, London Paddington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuburbanServiceTo Context triple: [Taplow railway station, hasSuburbanServiceTo, London Paddington]
-
A.
hasSuburbanService
Indicates that an entity provides or is connected to a public transportation service specifically serving suburban areas, typically linking suburbs with urban centers.
-
B.
hasSuburbanServiceBrand
Indicates that an entity operates or is associated with a specific brand used for its suburban transport services.
-
C.
hasSuburbanTerminus
Indicates that a transportation route or service ends at a terminus located in a suburban area.
-
D.
hasSuburbanZone
Indicates that an entity includes or is associated with a suburban area within its spatial or administrative extent.
-
E.
isSuburbanHub
Indicates that a location functions as a primary activity or transit center within a suburban area, serving surrounding neighborhoods.
- F. None of above. chosen
Provenance (4 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a007338002081908cb6340d65ff86d5 |
completed | May 10, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_6a0072a137ac8190a7debeb28e738e03 |
completed | May 10, 2026, 11:57 a.m. |
| PDg | Predicate description generation | batch_6a00733756848190b94524b42d6edf0a |
completed | May 10, 2026, 11:59 a.m. |
Created at: May 3, 2026, 4:20 p.m.