Triple
T3101999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnøy |
E64739
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
|
E326702
|
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: Hodnefjell | Statement: [Finnøy, hasIsland, Hodnefjell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hodnefjell Context triple: [Finnøy, hasIsland, Hodnefjell]
-
A.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
-
B.
Hovdetoppen
Hovdetoppen is a mountain in Gjøvik, Norway, notable for housing the underground Gjøvik Olympic Cavern Hall built for the 1994 Winter Olympics.
-
C.
Hafjell
Hafjell is a major Norwegian ski resort in the Øyer municipality, known for hosting alpine events during the 1994 Lillehammer Winter Olympics and offering extensive slopes and winter sports facilities.
-
D.
Higravstinden
Higravstinden is a prominent mountain peak in Norway’s Lofoten archipelago, known for its rugged alpine terrain and striking coastal views.
-
E.
Es Migjorn Gran
Es Migjorn Gran is a small, rural municipality and village located in the southern part of the Balearic Island of Menorca, Spain.
- 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: Hodnefjell Triple: [Finnøy, hasIsland, Hodnefjell]
Generated description
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hodnefjell Target entity description: Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
A.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
-
B.
Hovdetoppen
Hovdetoppen is a mountain in Gjøvik, Norway, notable for housing the underground Gjøvik Olympic Cavern Hall built for the 1994 Winter Olympics.
-
C.
Hafjell
Hafjell is a major Norwegian ski resort in the Øyer municipality, known for hosting alpine events during the 1994 Lillehammer Winter Olympics and offering extensive slopes and winter sports facilities.
-
D.
Higravstinden
Higravstinden is a prominent mountain peak in Norway’s Lofoten archipelago, known for its rugged alpine terrain and striking coastal views.
-
E.
Es Migjorn Gran
Es Migjorn Gran is a small, rural municipality and village located in the southern part of the Balearic Island of Menorca, Spain.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26c76ec81908d11f82be573c518 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203809fac81908047b1139b13cb04 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20532b7388190be5f7bcf48db6f45 |
completed | March 12, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2058d7c4c8190a44fc8745df3b1b3 |
completed | March 12, 2026, 12:15 a.m. |
Created at: March 8, 2026, 3:03 p.m.