Triple
T19873168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlberg Canal |
E477571
|
entity |
| Predicate | cityDistrictBoundary |
P108932
|
FINISHED |
| Object | boundary between Stockholm and Solna |
—
|
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: boundary between Stockholm and Solna | Statement: [Karlberg Canal, cityDistrictBoundary, boundary between Stockholm and Solna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityDistrictBoundary Context triple: [Karlberg Canal, cityDistrictBoundary, boundary between Stockholm and Solna]
-
A.
schoolDistrictBoundary
Indicates the geographic boundary within which a particular school district has jurisdiction and provides educational services.
-
B.
borderingLocalGovernmentArea
Indicates that one local government area shares a common boundary with another local government area.
-
C.
fareBoundaryBetween
Indicates that there is a dividing line or zone where one fare region, zone, or pricing scheme ends and another begins.
-
D.
geographicBoundary
chosen
Indicates that one entity serves as a limiting border or edge that defines the geographic extent or separation of another entity.
-
E.
borderingCensusDivision
Indicates that one census division shares a common boundary with another census division.
- F. None of above.
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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d92f9c8190b363587ed1881c2c |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.