Triple
T24190824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Berners plass |
E599688
|
entity |
| Predicate | isMajorJunctionIn |
P37486
|
FINISHED |
| Object | eastern Oslo road network |
—
|
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: eastern Oslo road network | Statement: [Carl Berners plass, isMajorJunctionIn, eastern Oslo road network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorJunctionIn Context triple: [Carl Berners plass, isMajorJunctionIn, eastern Oslo road network]
-
A.
isMajorRoadJunction
chosen
Indicates that a location serves as a primary intersection where major roads or highways meet or cross.
-
B.
isMajorJunctionOnLine
Indicates that a location serves as a primary connecting junction along a particular line or route.
-
C.
isMajorInterchangeFor
Indicates that one location functions as a primary hub where multiple routes or lines connect or transfer between each other for another location.
-
D.
isNumberedJunctionOf
Indicates that a junction (such as a road or rail intersection) has been assigned an official identifying number within a network.
-
E.
isMajorRouteThrough
Indicates that a route serves as a primary or significant pathway passing through a specified area or location.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:35 p.m.