Triple
T18442522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fosnes |
E450565
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Elvalandet
Elvalandet is an island in Trøndelag county, Norway, known for its rural landscape and location within the former municipality of Fosnes.
|
E1324739
|
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: Elvalandet | Statement: [Fosnes, hasIsland, Elvalandet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elvalandet Context triple: [Fosnes, hasIsland, Elvalandet]
-
A.
Forlandet
Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
-
B.
Tivland
Tivland is the traditional homeland and cultural region of the Tiv people, primarily located in central Nigeria.
-
C.
Ifjord
Ifjord is a small coastal village in northern Norway’s Finnmark region, known as a junction point for roads crossing the Ifjordfjellet mountain area.
-
D.
Helleland
Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
-
E.
Heidiland
Heidiland is a popular Swiss tourist region in Eastern Switzerland, known for its alpine landscapes and associations with Johanna Spyri’s "Heidi" stories.
- 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: Elvalandet Triple: [Fosnes, hasIsland, Elvalandet]
Generated description
Elvalandet is an island in Trøndelag county, Norway, known for its rural landscape and location within the former municipality of Fosnes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elvalandet Target entity description: Elvalandet is an island in Trøndelag county, Norway, known for its rural landscape and location within the former municipality of Fosnes.
-
A.
Forlandet
Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
-
B.
Tivland
Tivland is the traditional homeland and cultural region of the Tiv people, primarily located in central Nigeria.
-
C.
Ifjord
Ifjord is a small coastal village in northern Norway’s Finnmark region, known as a junction point for roads crossing the Ifjordfjellet mountain area.
-
D.
Helleland
Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
-
E.
Heidiland
Heidiland is a popular Swiss tourist region in Eastern Switzerland, known for its alpine landscapes and associations with Johanna Spyri’s "Heidi" stories.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c11b1288190b9ed4497751197d1 |
completed | April 19, 2026, 6:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fdd9cc48190a7b9eab5cd00eeb9 |
completed | May 13, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_6a0411178f848190a825eac107ceabc2 |
completed | May 13, 2026, 5:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0411953ddc8190845a712b26dde37f |
completed | May 13, 2026, 5:52 a.m. |
Created at: April 10, 2026, 11:30 a.m.