Triple
T17686056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Great Western |
E440889
|
entity |
| Predicate | operatedRollingStockType |
P1305
|
FINISHED |
| Object | Class 165 |
E153370
|
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: Class 165 | Statement: [First Great Western, operatedRollingStockType, Class 165]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Class 165 Context triple: [First Great Western, operatedRollingStockType, Class 165]
-
A.
Class 158
Class 158 is a British diesel multiple unit train widely used on regional and intercity services, known for its higher comfort and speed compared to older provincial stock.
-
B.
Class 165/1
Class 165/1 is a subseries of British diesel multiple-unit commuter trains designed for regional and suburban passenger services in the UK.
-
C.
Class 321
Class 321 is a type of British electric multiple unit train widely used for suburban and commuter rail services in the UK.
-
D.
Class 150/2
Class 150/2 is a subclass of the British Rail Class 150 diesel multiple units, built for regional and commuter services on the UK rail network.
-
E.
Class 165 train
chosen
The Class 165 train is a British diesel multiple unit used primarily for suburban and regional passenger services, notably around the Thames Valley and Chiltern routes.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47047d90c8190a172201f3de6db87 |
completed | April 19, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02232e1b4481908e8a89f2c1c244f1 |
completed | May 11, 2026, 6:42 p.m. |
Created at: April 10, 2026, 10:02 a.m.