Triple
T17658121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Besseggen ridge hike |
E440177
|
entity |
| Predicate | separates |
P1175
|
FINISHED |
| Object | Lake Bessvatnet |
—
|
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: Lake Bessvatnet | Statement: [Besseggen ridge hike, separates, Lake Bessvatnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Bessvatnet Context triple: [Besseggen ridge hike, separates, Lake Bessvatnet]
-
A.
Lake Bessvatnet
chosen
Lake Bessvatnet is a striking glacial lake in Norway’s Jotunheimen National Park, famed for its vivid blue color and dramatic views from the popular Besseggen ridge hike above it.
-
B.
Lake Båven
Lake Båven is a scenic lake in Södermanland County, Sweden, known for its irregular shoreline, numerous islands, and surrounding historic estates.
-
C.
Mosvatnet lake
Mosvatnet lake is a scenic freshwater lake in Stavanger, Norway, known for its surrounding parklands, walking paths, and proximity to cultural attractions.
-
D.
Lake Hjellevatn
Lake Hjellevatn is a Norwegian lake that is part of an inland waterway system connected by locks to Lake Norsjø.
-
E.
Juklavatnet
Juklavatnet is a lake in western Norway known for its scenic glacial surroundings and mountainous landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea3b4cc81908eec7032cf221d49 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:33 a.m.