Triple
T4446324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rondslottet |
E96297
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Rondane |
E96297
|
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: Rondane | Statement: [Rondslottet, locatedIn, Rondane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rondane Context triple: [Rondslottet, locatedIn, Rondane]
-
A.
Rondane
chosen
Rondane is a mountainous national park in central Norway known for its high peaks, alpine plateaus, and rich wildlife, including wild reindeer.
-
B.
Dovrefjell
Dovrefjell is a prominent mountainous region in central Norway known for its rugged peaks, national park, and rich wildlife including wild reindeer and musk oxen.
-
C.
Skogsvåg
Skogsvåg is a small coastal village in western Norway, located on the island of Sotra in Vestland county.
-
D.
Lyngen Alps
The Lyngen Alps are a dramatic mountain range in northern Norway known for their sharp peaks, deep fjords, and popularity for skiing, mountaineering, and viewing the Northern Lights.
-
E.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d1eba08190899d0a3c1684ce4e |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b613850eb88190b689a632b0e2b374 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:32 p.m.