Triple
T13808142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesja municipality |
E331811
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object |
Skarvehøi
Skarvehøi is a mountain located in Lesja municipality in Innlandet county, Norway, known for its alpine terrain and scenic hiking opportunities.
|
E1062770
|
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: Skarvehøi | Statement: [Lesja municipality, hasMountain, Skarvehøi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skarvehøi Context triple: [Lesja municipality, hasMountain, Skarvehøi]
-
A.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
B.
Kolåstinden
Kolåstinden is a prominent alpine peak in Norway’s Sunnmøre Alps, renowned among hikers and ski mountaineers for its steep slopes and panoramic fjord views.
-
C.
Slottsfjellet
Slottsfjellet is a historic hill and former fortress site in Tønsberg, Norway, known for its medieval castle ruins and prominent tower overlooking the city.
-
D.
Nesoddtangen
Nesoddtangen is a village and administrative center in Nesodden municipality in Viken county, Norway, located on a peninsula directly across the Oslofjord from central Oslo.
-
E.
Kjerkeberget
Kjerkeberget is a forested hill in Norway that marks the highest natural point within Oslo’s municipal boundaries.
- 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: Skarvehøi Triple: [Lesja municipality, hasMountain, Skarvehøi]
Generated description
Skarvehøi is a mountain located in Lesja municipality in Innlandet county, Norway, known for its alpine terrain and scenic hiking opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skarvehøi Target entity description: Skarvehøi is a mountain located in Lesja municipality in Innlandet county, Norway, known for its alpine terrain and scenic hiking opportunities.
-
A.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
B.
Kolåstinden
Kolåstinden is a prominent alpine peak in Norway’s Sunnmøre Alps, renowned among hikers and ski mountaineers for its steep slopes and panoramic fjord views.
-
C.
Slottsfjellet
Slottsfjellet is a historic hill and former fortress site in Tønsberg, Norway, known for its medieval castle ruins and prominent tower overlooking the city.
-
D.
Nesoddtangen
Nesoddtangen is a village and administrative center in Nesodden municipality in Viken county, Norway, located on a peninsula directly across the Oslofjord from central Oslo.
-
E.
Kjerkeberget
Kjerkeberget is a forested hill in Norway that marks the highest natural point within Oslo’s municipal boundaries.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026eae8481908b8880635e6a9152 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08fbc348190a199c5d92e0e46be |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b15143108190a49a09afba93eb45 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b50c31ac81909b17013d57dda164 |
completed | May 3, 2026, 8:50 p.m. |
Created at: April 9, 2026, 10:12 p.m.