Triple
T13649747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judaberg |
E326697
|
entity |
| Predicate | locatedInFjordRegion |
P48779
|
FINISHED |
| Object | Boknafjorden area |
—
|
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: Boknafjorden area | Statement: [Judaberg, locatedInFjordRegion, Boknafjorden area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInFjordRegion Context triple: [Judaberg, locatedInFjordRegion, Boknafjorden area]
-
A.
hasFjord
Indicates that an entity possesses, contains, or is characterized by a fjord as part of its geography or features.
-
B.
hasNearbyFjord
chosen
Indicates that one entity is located close to or in the vicinity of a fjord associated with another entity.
-
C.
nearCityOnNorwegianSide
Indicates that one entity is located close to a specified city that lies on the Norwegian side of a border or region.
-
D.
HovdenIs
Indicates that something or someone is identified as, characterized as, or located in Hovden.
-
E.
locatedInLakeRegion
Indicates that the subject entity is situated within a geographic area characterized as a lake region.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc608466c81908f6d2c9c92cc86aa |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.