Triple
T7195567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinckley |
E168604
|
entity |
| Predicate | hasBusOperator |
P14541
|
FINISHED |
| Object | Arriva Midlands |
E119079
|
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: Arriva Midlands | Statement: [Hinckley, hasBusOperator, Arriva Midlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arriva Midlands Context triple: [Hinckley, hasBusOperator, Arriva Midlands]
-
A.
Arriva
chosen
Arriva is a major European public transport company that operates bus, coach, train, tram, and waterbus services across multiple countries.
-
B.
Arriva UK Trains
Arriva UK Trains is a major British train operating company that manages several passenger rail franchises and services across the United Kingdom.
-
C.
Arriva Trains Northern
Arriva Trains Northern was a former British train operating company that provided regional and commuter rail services across Northern England.
-
D.
Nottingham Express Transit
Nottingham Express Transit is a modern tram network serving the city of Nottingham and its surrounding areas in England.
-
E.
Transport for West Midlands
Transport for West Midlands is the public body responsible for planning, coordinating, and improving transport services and infrastructure across the West Midlands metropolitan region in England.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e927709c81909edf6ee42fe7f833 |
completed | March 27, 2026, 8:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfa14e1c8190968b207bef0c96a9 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:51 p.m.