Triple
T13808118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesja municipality |
E331811
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bjorli
Bjorli is a Norwegian village known for its ski resort and scenic mountain surroundings in Innlandet county.
|
E1066061
|
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: Bjorli | Statement: [Lesja municipality, hasSettlement, Bjorli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjorli Context triple: [Lesja municipality, hasSettlement, Bjorli]
-
A.
Bjerke
Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
-
B.
Bjugn
Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
-
C.
Lessebo
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
-
D.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
E.
Giske
Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
- 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: Bjorli Triple: [Lesja municipality, hasSettlement, Bjorli]
Generated description
Bjorli is a Norwegian village known for its ski resort and scenic mountain surroundings in Innlandet county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bjorli Target entity description: Bjorli is a Norwegian village known for its ski resort and scenic mountain surroundings in Innlandet county.
-
A.
Bjerke
Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
-
B.
Bjugn
Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
-
C.
Lessebo
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
-
D.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
E.
Giske
Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
- 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_69f7c0e5251c81909f3f40dcdea1772f |
completed | May 3, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69f7c1e73fb481909f89ab3c0e9fb7d0 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3396f7c8190987079bf24ac8695 |
completed | May 3, 2026, 9:50 p.m. |
Created at: April 9, 2026, 10:12 p.m.