Triple
T19069308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitcham |
E466751
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Tramlink |
—
|
NE NERFINISHED |
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: Tramlink | Statement: [Mitcham, servedBy, Tramlink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tramlink Context triple: [Mitcham, servedBy, Tramlink]
-
A.
Tramlink
chosen
Tramlink is a light rail tram system serving the Croydon area and surrounding districts in South London.
-
B.
City Thameslink
City Thameslink is a central London railway station on the Thameslink route, serving commuter and regional services through the City of London.
-
C.
Sheffield Supertram
Sheffield Supertram is a modern light rail and tram network serving the city of Sheffield and its surrounding areas in South Yorkshire, England.
-
D.
TfW Rail
TfW Rail is the train operating company responsible for providing passenger rail services across Wales and the bordering regions of England under the Transport for Wales brand.
-
E.
Merseyrail
Merseyrail is a commuter rail network serving the Liverpool City Region and surrounding areas in Merseyside, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19caa708190876a2cb06aa0c9cc |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.