Triple
T21239463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djursholms Ösby station |
E523431
|
entity |
| Predicate | locatedInSuburbType |
P143331
|
FINISHED |
| Object | affluent suburb |
—
|
LITERAL 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: affluent suburb | Statement: [Djursholms Ösby station, locatedInSuburbType, affluent suburb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInSuburbType Context triple: [Djursholms Ösby station, locatedInSuburbType, affluent suburb]
-
A.
isResidentialSuburbOf
Indicates that one area is a residential suburb that is part of or lies within the urban region of another area.
-
B.
innerSuburbOf
Indicates that one location is a suburb situated within or forming part of a larger city or metropolitan area.
-
C.
isCommercialSuburbOf
Indicates that one area functions primarily as a business or commercial district that is part of, or subordinate to, a larger urban area or city.
-
D.
hasNearbySuburb
Indicates that one location has another location as a suburb situated in close geographic proximity.
-
E.
locatedInNorthernSuburbOf
Indicates that one entity is situated within the northern suburban area relative to another reference location.
- F. None of above. chosen
Provenance (4 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73522acdc8190b3e155026a0445cd |
completed | April 21, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f9943ed881909ef49045c5bcf6df |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:46 p.m.