Triple
T21379256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadshagen |
E527298
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object | Stadshagen 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: Stadshagen metro station | Statement: [Stadshagen, hasTransport, Stadshagen metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stadshagen metro station Context triple: [Stadshagen, hasTransport, Stadshagen metro station]
-
A.
Stadshagen metro station
chosen
Stadshagen metro station is an underground station on Stockholm’s metro system serving the Stadshagen district on Kungsholmen.
-
B.
Haselhorst U-Bahn station
Haselhorst U-Bahn station is an underground metro stop on Berlin’s U7 line serving the Haselhorst district in the borough of Spandau.
-
C.
Crainhem metro station
Crainhem metro station is a Brussels Metro station serving the municipality of Woluwe-Saint-Lambert in the eastern part of Brussels, Belgium.
-
D.
Van der Madeweg metro station
Van der Madeweg metro station is a stop on Amsterdam’s metro network serving the southeastern part of the city.
-
E.
Holendrecht metro station
Holendrecht metro station is a public transit stop in Amsterdam that serves the city’s metro network, including the Ringlijn line, and provides access to nearby residential and institutional areas.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cc2b5c8190aa5f20f920523fe9 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.