Triple
T21503227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Networker Turbo |
E530530
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Thames Trains |
E623585
|
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: Thames Trains | Statement: [Networker Turbo, operator, Thames Trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thames Trains Context triple: [Networker Turbo, operator, Thames Trains]
-
A.
Thames Trains
chosen
Thames Trains was a former British train operating company that provided regional and commuter rail services in the Thames Valley area of England in the late 1990s and early 2000s.
-
B.
Thameslink
Thameslink is a major British rail network providing cross-London services that connect destinations across the South East of England.
-
C.
Virgin Trains
Virgin Trains was a British train operating company under Richard Branson’s Virgin Group brand that ran long-distance passenger rail services in the UK.
-
D.
Northern Trains
Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
-
E.
City Thameslink
City Thameslink is a central London railway station on the Thameslink route, serving commuter and regional services through the City of London.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5deb388190a89a1f94285b7e55 |
completed | April 23, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e1414ca88190973fcd9d2866c883 |
completed | May 17, 2026, 3:39 p.m. |
Created at: April 16, 2026, 6:24 p.m.