Triple
T522396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transport for Wales Rail |
E10845
|
entity |
| Predicate | operatesServiceTo |
P6304
|
FINISHED |
| Object | Crewe |
E45564
|
NE 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: Crewe | Statement: [Transport for Wales Rail, operatesServiceTo, Crewe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crewe Context triple: [Transport for Wales Rail, operatesServiceTo, Crewe]
-
A.
Crewe
chosen
Crewe is a major railway town in Cheshire, England, historically known as a key junction on the British rail network and a center of railway engineering.
-
B.
Warrington
Warrington is a large town in Cheshire, England, situated between Liverpool and Manchester on the River Mersey and known historically for its role in industry and transport.
-
C.
Wolverhampton
Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
-
D.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
E.
Bolton
Bolton is a large town in North West England known for its industrial heritage, particularly in textile manufacturing, and its location northwest of Manchester.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b372408190b3918fec45444674 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b8abbfbc819086148dc95b807e06 |
completed | March 1, 2026, 10:07 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.