Triple
T22329995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambertseter Line |
E551997
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Ryen station |
—
|
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: Ryen station | Statement: [Lambertseter Line, hasStation, Ryen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryen station Context triple: [Lambertseter Line, hasStation, Ryen station]
-
A.
Ryen station
chosen
Ryen station is a metro station in Oslo, Norway, serving the Østensjø area on the city's rapid transit network.
-
B.
Ratho Station
Ratho Station is a small village in West Lothian, Scotland, situated near Edinburgh and historically associated with its former railway station.
-
C.
Anonas station
Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
-
D.
Heiwadai Station
Heiwadai Station is a subway station in Tokyo, Japan, served by the Tokyo Metro Fukutoshin Line (and typically also the Yurakucho Line), providing local commuter access in the Nerima ward.
-
E.
Nopo Station
Nopo Station is a major subway and bus terminal in Busan, South Korea, serving as a key transportation hub for the northeastern part of the city.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577a9c348190b8662142afa832be |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.