Triple
T17727152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vangsmjøse |
E442491
|
entity |
| Predicate | hasNearbyMountain |
P651
|
FINISHED |
| Object |
Grindafjell
Grindafjell is a mountain located near the lake Vangsmjøse in Vang, Innlandet county, Norway, known for its scenic hiking terrain and views of the surrounding Valdres region.
|
E1300870
|
NE FINISHED |
How this triple was built (4 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: Grindafjell | Statement: [Vangsmjøse, hasNearbyMountain, Grindafjell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grindafjell Context triple: [Vangsmjøse, hasNearbyMountain, Grindafjell]
-
A.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
B.
Filefjell
Filefjell is a mountainous area and historic mountain pass in southern Norway, known as an important route between Eastern and Western Norway and a popular destination for hiking and winter sports.
-
C.
Etnefjellet
Etnefjellet is a mountainous area in western Norway known for its rugged terrain, hiking opportunities, and scenic natural landscapes.
-
D.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
-
E.
Kvitfjell
Kvitfjell is a Norwegian alpine ski resort renowned for hosting major international competitions, including Olympic and World Cup events.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grindafjell Triple: [Vangsmjøse, hasNearbyMountain, Grindafjell]
Generated description
Grindafjell is a mountain located near the lake Vangsmjøse in Vang, Innlandet county, Norway, known for its scenic hiking terrain and views of the surrounding Valdres region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grindafjell Target entity description: Grindafjell is a mountain located near the lake Vangsmjøse in Vang, Innlandet county, Norway, known for its scenic hiking terrain and views of the surrounding Valdres region.
-
A.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
B.
Filefjell
Filefjell is a mountainous area and historic mountain pass in southern Norway, known as an important route between Eastern and Western Norway and a popular destination for hiking and winter sports.
-
C.
Etnefjellet
Etnefjellet is a mountainous area in western Norway known for its rugged terrain, hiking opportunities, and scenic natural landscapes.
-
D.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
-
E.
Kvitfjell
Kvitfjell is a Norwegian alpine ski resort renowned for hosting major international competitions, including Olympic and World Cup events.
- F. None of above. chosen
Provenance (5 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e3cb708190b47456ad2008a65e |
completed | April 19, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03430c26708190a12069df95f760de |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a0343b583088190bbafd4ef3aad5218 |
completed | May 12, 2026, 3:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03445d9d208190b2d72012c4b4407f |
completed | May 12, 2026, 3:16 p.m. |
Created at: April 10, 2026, 10:07 a.m.