Triple
T6590315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rissne |
E159336
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Sundbyberg |
E20330
|
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: Sundbyberg | Statement: [Rissne, partOf, Sundbyberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sundbyberg Context triple: [Rissne, partOf, Sundbyberg]
-
A.
Sundbyberg Municipality
chosen
Sundbyberg Municipality is a small, densely populated suburban municipality in the Stockholm metropolitan area of Sweden, known for its urban character and proximity to central Stockholm.
-
B.
Söderort
Söderort is the southern suburban part of Stockholm, Sweden, consisting mainly of residential districts located south of the inner-city island of Södermalm.
-
C.
Stockholm Östra
Stockholm Östra is a railway terminus in central Stockholm that serves as the main city station for the narrow-gauge Roslagsbanan commuter rail line.
-
D.
Kungsholmen
Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
-
E.
Bromma
Bromma is a suburban district in western Stockholm, Sweden, known for its residential areas, green spaces, and the city’s secondary airport.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aecc969c81909a6e15ebe8dd3f94 |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42b72c481909f582f4f5b07e3d9 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:55 p.m.