Triple
T15040734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skanstull |
E378591
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Skanstull metro station |
E385953
|
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: Skanstull metro station | Statement: [Skanstull, hasLandmark, Skanstull metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skanstull metro station Context triple: [Skanstull, hasLandmark, Skanstull metro station]
-
A.
Skanstull metro station
chosen
Skanstull metro station is a Stockholm Metro station on Södermalm that serves as a key stop on the city’s Green Line.
-
B.
Kristineberg metro station
Kristineberg metro station is a Stockholm Metro station on the green line, serving the Kristineberg district on Kungsholmen island in Sweden.
-
C.
Södermalm metro station
Södermalm metro station is a public transit station serving Stockholm’s Södermalm district on the city’s metro network.
-
D.
Blackeberg metro station
Blackeberg metro station is a Stockholm Metro station on the Green line serving the Blackeberg district in western Stockholm, Sweden.
-
E.
Solna strand metro station
Solna strand metro station is a Stockholm metro station on the blue line serving the Solna business district and nearby residential areas.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82e79a481908ddb9609af8c4407 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5e2b2188190b96807ca6442fb01 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3 a.m.