Triple
T34236851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitby (summer Saturdays, historically via Northern services) |
E878357
|
entity |
| Predicate | railwayUseCase |
P184420
|
FINISHED |
| Object | seasonal timetable enhancement |
—
|
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: seasonal timetable enhancement | Statement: [Whitby (summer Saturdays, historically via Northern services), railwayUseCase, seasonal timetable enhancement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayUseCase Context triple: [Whitby (summer Saturdays, historically via Northern services), railwayUseCase, seasonal timetable enhancement]
-
A.
railwayUse
Indicates that something is used as, or functions in the capacity of, a railway or rail-based transportation facility.
-
B.
railwayAccess
Indicates that an entity has direct access to, connection with, or service by a railway line or station.
-
C.
railwayTimeUsage
Indicates how much time is spent using or operating a railway within a given context or period.
-
D.
usesRailInfrastructureOf
Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
-
E.
railwayLineUsage
Indicates how a railway line is used, such as the type or purpose of traffic or operations it supports.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: May 1, 2026, 1:56 a.m.