Triple
T22450097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastlands sports district |
E554966
|
entity |
| Predicate | transportServedBy |
P1298
|
FINISHED |
| Object | Velopark tram stop |
—
|
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: Velopark tram stop | Statement: [Eastlands sports district, transportServedBy, Velopark tram stop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velopark tram stop Context triple: [Eastlands sports district, transportServedBy, Velopark tram stop]
-
A.
Velopark tram stop
chosen
Velopark tram stop is a Manchester Metrolink light-rail stop serving the Velopark and surrounding area in east Manchester, England.
-
B.
Imanta tram stop
Imanta tram stop is a public transport stop on the tram network in Riga, Latvia, serving the Imanta district.
-
C.
Benchill tram stop
Benchill tram stop is a light-rail station on Greater Manchester’s Metrolink network serving the Benchill area of Wythenshawe.
-
D.
Helmhaus tram stop
Helmhaus tram stop is a public transport stop on Zurich’s central Limmatquai, serving trams that run along the Limmat river in the city’s old town.
-
E.
Oerlikon tram stop
Oerlikon tram stop is a public transport stop in the Zürich district of Oerlikon, serving as part of the city’s urban tram system.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ae8a08190ba6027f036ce62af |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.