Triple
T8064729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windsor & Eton Central railway station |
E188214
|
entity |
| Predicate | hasFormerPlatformCount |
P843
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Windsor & Eton Central railway station, hasFormerPlatformCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerPlatformCount Context triple: [Windsor & Eton Central railway station, hasFormerPlatformCount, 3]
-
A.
hasNumberOfPlatforms
chosen
Indicates the relationship that specifies how many platforms are associated with a given entity.
-
B.
hasDisusedPlatforms
Indicates that an entity (such as a station or facility) possesses one or more platforms that are no longer in active use.
-
C.
hasFormerService
Indicates that an entity previously provided a service to another entity but no longer does so.
-
D.
hasFormerUse
Indicates that something previously served a particular function or role that it no longer has.
-
E.
hasFormerHost
Indicates that an entity previously served as the host of another entity but no longer holds that hosting role.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fd07fd08190a3b61cb3369ee6a6 |
completed | March 31, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:26 p.m.