Triple
T10359877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birmingham New Street to Shrewsbury |
E244104
|
entity |
| Predicate | callingPattern |
P42455
|
FINISHED |
| Object | stopping and semi-fast services |
—
|
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: stopping and semi-fast services | Statement: [Birmingham New Street to Shrewsbury, callingPattern, stopping and semi-fast services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: callingPattern Context triple: [Birmingham New Street to Shrewsbury, callingPattern, stopping and semi-fast services]
-
A.
callingStyle
Indicates the manner or convention by which one entity initiates or performs a call or invocation on another entity.
-
B.
callingPoint
chosen
Indicates that one entity serves as a stop, station, or intermediate point that another entity (such as a route, journey, or service) calls at or passes through.
-
C.
callingCode
Indicates the telephone country or area code associated with an entity for making phone calls.
-
D.
notationPattern
Indicates a recurring way in which something is symbolically represented or written, such as a consistent style or structure of notation used for an entity or concept.
-
E.
bellPattern
Indicates that one entity exhibits or follows a bell-shaped or bell-like pattern in relation to another entity or variable.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9609c4481908b7d72ecf1adaa73 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:59 a.m.