Triple
T3882318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galdhøpiggen |
E92852
|
entity |
| Predicate | hasMountainHutNearby |
P15807
|
FINISHED |
| Object | Spiterstulen |
E398069
|
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: Spiterstulen | Statement: [Galdhøpiggen, hasMountainHutNearby, Spiterstulen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spiterstulen Context triple: [Galdhøpiggen, hasMountainHutNearby, Spiterstulen]
-
A.
Spiterstulen
chosen
Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
-
B.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
C.
Higravstinden
Higravstinden is a prominent mountain peak in Norway’s Lofoten archipelago, known for its rugged alpine terrain and striking coastal views.
-
D.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
-
E.
Egertorget
Egertorget is a central public square and popular meeting point in downtown Oslo, Norway, known for its shops, street life, and role as a hub along the city’s main thoroughfare.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec8e8b3481909617ca0e37f8a6d4 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52845684c8190b6f0676319a6fc3c |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:20 p.m.