Triple
T4434688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jotunheimen |
E95619
|
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, contains, Juvasshytta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juvasshytta Context triple: [Jotunheimen, 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.
Sykkylven
Sykkylven is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape and strong furniture manufacturing industry.
-
C.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
D.
Kallhäll
Kallhäll is a suburban district in the Stockholm metropolitan area of Sweden, known for its residential neighborhoods and commuter connections.
-
E.
Häggvik
Häggvik is a residential and commercial district in Sollentuna, part of the northern suburbs of Stockholm, 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35588e99881908fea7b71a33e2bb6 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6137378dc8190900c8fda2693c4da |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:31 p.m.