Triple
T21320736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sveavägen |
E525605
|
entity |
| Predicate | nearbyStation |
P4625
|
FINISHED |
| Object | Rådmansgatan metro 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: Rådmansgatan metro station | Statement: [Sveavägen, nearbyStation, Rådmansgatan metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rådmansgatan metro station Context triple: [Sveavägen, nearbyStation, Rådmansgatan metro station]
-
A.
Rådmansgatan metro station
chosen
Rådmansgatan metro station is a Stockholm Metro station on the Green line, located in the central district of Norrmalm.
-
B.
Gärdet metro station
Gärdet metro station is an underground station on Stockholm's red line serving the Gärdet district in the eastern part of the city.
-
C.
Södermalm metro station
Södermalm metro station is a public transit station serving Stockholm’s Södermalm district on the city’s metro network.
-
D.
Skanstull metro station
Skanstull metro station is a Stockholm Metro station on Södermalm that serves as a key stop on the city’s Green Line.
-
E.
Näckrosen metro station
Näckrosen metro station is a Stockholm Metro station on the Blue Line serving the Solna and Sundbyberg areas in the northern 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed0a2788190b6a71c8c720173dc |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:39 p.m.