Triple
T16968143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyborgsky District, Saint Petersburg |
E411595
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object | Parnas station |
E1021980
|
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: Parnas station | Statement: [Vyborgsky District, Saint Petersburg, hasMetroStation, Parnas station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parnas station Context triple: [Vyborgsky District, Saint Petersburg, hasMetroStation, Parnas station]
-
A.
Bolna Station
Bolna Station is a remote railway stop on Norway’s Nordland Line, serving the mountainous Saltfjellet region just north of the Arctic Circle.
-
B.
Hankar station
Hankar station is a Brussels Metro station on the city's Line 5, serving the Auderghem municipality in southeastern Brussels.
-
C.
Parnas railway station
chosen
Parnas railway station is a passenger railway station serving the Parnas area in the Vyborgsky District of Saint Petersburg, Russia.
-
D.
Obelya station
Obelya station is a metro station in Sofia, Bulgaria, serving as an interchange point between lines of the Sofia Metro network.
-
E.
Lesja Station
Lesja Station is a rural railway stop in Norway serving the village of Lesja and connecting the area to the wider national rail network.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a6f628819080db47285954729a |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46f1d608190befe4dcbda086c03 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.