Triple
T13262663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenvik Municipality |
E315837
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Gibostad
Gibostad is a small coastal village in northern Norway known for its fishing heritage and scenic surroundings.
|
E1030725
|
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: Gibostad | Statement: [Lenvik Municipality, hasSettlement, Gibostad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gibostad Context triple: [Lenvik Municipality, hasSettlement, Gibostad]
-
A.
Gaustad
Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
-
B.
Grebbestad
Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
-
C.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
-
D.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
E.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
- 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: Gibostad Triple: [Lenvik Municipality, hasSettlement, Gibostad]
Generated description
Gibostad is a small coastal village in northern Norway known for its fishing heritage and scenic surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gibostad Target entity description: Gibostad is a small coastal village in northern Norway known for its fishing heritage and scenic surroundings.
-
A.
Gaustad
Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
-
B.
Grebbestad
Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
-
C.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
-
D.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
E.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901b380881909e6520fbb6811084 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a48bc488190a5cf692d81bdcbba |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b5dbcc4819081b5ba410e319eb7 |
completed | May 3, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70c4c6f908190b2ebc2a90b049e59 |
completed | May 3, 2026, 8:50 a.m. |
Created at: April 9, 2026, 9:25 p.m.