Triple
T23938099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VisitOSLO area |
E602697
|
entity |
| Predicate | officialTourismRegionFor |
P3030
|
FINISHED |
| Object | Oslo |
—
|
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: Oslo | Statement: [VisitOSLO area, officialTourismRegionFor, Oslo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialTourismRegionFor Context triple: [VisitOSLO area, officialTourismRegionFor, Oslo]
-
A.
tourismRegion
chosen
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
-
B.
regionOfTour
Indicates that a specified geographic or administrative region is the location or scope within which a particular tour takes place.
-
C.
connectsToTouristRegion
Indicates that one entity has a direct linkage or association to a tourist region, such as through location, access, or service provision.
-
D.
tourismFrom
Indicates that tourists or visitor activity originates from one place and is directed toward another location.
-
E.
tourismAssociation
Indicates that there is an organizational or formal association related to tourism activities, services, or promotion between the involved entities.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cfa267b88190a1e7d599f22441e2 |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:07 p.m.