Triple
T15217049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jotunheimen National Park |
E363662
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Juvasshytta |
E394797
|
NE 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: Juvasshytta | Statement: [Jotunheimen National Park, contains, Juvasshytta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juvasshytta Context triple: [Jotunheimen National Park, contains, Juvasshytta]
-
A.
Juvasshytta
chosen
Juvasshytta is a high-altitude mountain lodge in Norway that serves as a common starting point for guided hikes to the summit of Galdhøpiggen, the country’s highest peak.
-
B.
Långbanshyttan
Långbanshyttan is a historic mining settlement in Värmland, Sweden, best known as the birthplace of the renowned engineer and inventor John Ericsson.
-
C.
Hjo
Hjo is a small historic town in southern Sweden known for its well-preserved wooden architecture and lakeside location.
-
D.
Sykkylven
Sykkylven is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape and strong furniture manufacturing industry.
-
E.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.