Triple
T786469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Norway |
E16813
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object |
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
|
E92852
|
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: Galdhøpiggen | Statement: [Eastern Norway, hasHighestPoint, Galdhøpiggen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galdhøpiggen Context triple: [Eastern Norway, hasHighestPoint, Galdhøpiggen]
-
A.
Hovdetoppen
Hovdetoppen is a mountain in Gjøvik, Norway, notable for housing the underground Gjøvik Olympic Cavern Hall built for the 1994 Winter Olympics.
-
B.
Finnmarksvidda
Finnmarksvidda is a vast, sparsely populated Arctic plateau in Norway known for its tundra landscapes, reindeer herding, and extreme winter cold.
-
C.
Gunnbjørn Fjeld
Gunnbjørn Fjeld is the tallest mountain in the Arctic and a prominent peak of Greenland’s remote ice-covered interior.
-
D.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
E.
Hvannadalshnúkur
Hvannadalshnúkur is a prominent glaciated stratovolcano peak in southeast Iceland and the country’s highest mountain.
- 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: Galdhøpiggen Triple: [Eastern Norway, hasHighestPoint, Galdhøpiggen]
Generated description
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Galdhøpiggen Target entity description: Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
-
A.
Hovdetoppen
Hovdetoppen is a mountain in Gjøvik, Norway, notable for housing the underground Gjøvik Olympic Cavern Hall built for the 1994 Winter Olympics.
-
B.
Finnmarksvidda
Finnmarksvidda is a vast, sparsely populated Arctic plateau in Norway known for its tundra landscapes, reindeer herding, and extreme winter cold.
-
C.
Gunnbjørn Fjeld
Gunnbjørn Fjeld is the tallest mountain in the Arctic and a prominent peak of Greenland’s remote ice-covered interior.
-
D.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
E.
Hvannadalshnúkur
Hvannadalshnúkur is a prominent glaciated stratovolcano peak in southeast Iceland and the country’s highest mountain.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6733e47148190bad0ac71cf45dd85 |
completed | March 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69a673afbd308190863aea2ff0f650cb |
completed | March 3, 2026, 5:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6743f50d0819089885836b9668466 |
completed | March 3, 2026, 5:40 a.m. |
Created at: March 1, 2026, 7:38 p.m.