Triple
T24965772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whifflet |
E624737
|
entity |
| Predicate | railwayServes |
P154206
|
FINISHED |
| Object | Whifflet railway station |
—
|
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: Whifflet railway station | Statement: [Whifflet, railwayServes, Whifflet railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayServes Context triple: [Whifflet, railwayServes, Whifflet railway station]
-
A.
railInfrastructureServed
Indicates that a rail infrastructure facility or segment is served, accessed, or operated by a particular service, operator, or network.
-
B.
railwayTypeServed
Indicates the type of railway system or service that a given entity (such as a station, line, or facility) is designed to serve or accommodate.
-
C.
railwaySystemServed
Indicates that a railway system provides service to, or operates within, a specified location or area.
-
D.
railServicesTo
Indicates that rail transportation services operate from one location to another specified destination.
-
E.
hasRailServiceAt
chosen
Indicates that a rail transport service operates at or serves a particular location or facility.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490283c481908c18246dc7125eec |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6 a.m.