Triple
T22678692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPW |
E560418
|
entity |
| Predicate | isCodeForStationType |
P41166
|
FINISHED |
| Object | mainline railway station |
—
|
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: mainline railway station | Statement: [CPW, isCodeForStationType, mainline railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCodeForStationType Context triple: [CPW, isCodeForStationType, mainline railway station]
-
A.
hasStationCodeSystem
Indicates that an entity uses or is associated with a particular system for assigning or managing station codes.
-
B.
hasStationCode
Indicates that an entity is associated with a specific station identification code.
-
C.
isPassengerStationCode
chosen
Indicates that a given code is officially assigned to identify a particular passenger station.
-
D.
codeForStationIn
Indicates that a specific code is assigned to or used to identify a station within a particular system, network, or context.
-
E.
hasStationTypeAt
Indicates that a specific type of station is present or assigned at a particular location or point.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785e4e7481909f1ebd6d8dbd6585 |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:11 p.m.