Triple
T1305704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GLC |
E27871
|
entity |
| Predicate | operatorArea |
P23381
|
FINISHED |
| Object | TransPennine Express |
E9459
|
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: TransPennine Express | Statement: [GLC, operatorArea, TransPennine Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TransPennine Express Context triple: [GLC, operatorArea, TransPennine Express]
-
A.
TransPennine Express
chosen
TransPennine Express is a British train operating company providing intercity and regional rail services across northern England and into Scotland.
-
B.
Northern Rail
Northern Rail is a British train operating company providing regional and commuter rail services across Northern England.
-
C.
Northern Trains
Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
-
D.
London Midland
London Midland was a former British train operating company that ran regional and intercity passenger services across the West Midlands and surrounding areas until its franchise ended in 2017.
-
E.
Arriva Trains Northern
Arriva Trains Northern was a former British train operating company that provided regional and commuter rail services across Northern 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c48d25608190b069fb4d0d460aa6 |
completed | March 1, 2026, 10:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1594f94c8190bb6d3dc40534382e |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 7:51 p.m.