Triple
T15529193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alver Municipality |
E370164
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Lindås
Lindås is a village in western Norway that serves as one of the local settlements within Alver Municipality in Vestland county.
|
E1163993
|
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: Lindås | Statement: [Alver Municipality, containsSettlement, Lindås]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindås Context triple: [Alver Municipality, containsSettlement, Lindås]
-
A.
Lindhagen
Lindhagen is a Swedish surname most notably associated with the politician and social reformer Carl Lindhagen.
-
B.
Lindesberg
Lindesberg is a small historic town in central Sweden known for its mining heritage and lakeside setting.
-
C.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
D.
Vingåker
Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
-
E.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
- 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: Lindås Triple: [Alver Municipality, containsSettlement, Lindås]
Generated description
Lindås is a village in western Norway that serves as one of the local settlements within Alver Municipality in Vestland county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lindås Target entity description: Lindås is a village in western Norway that serves as one of the local settlements within Alver Municipality in Vestland county.
-
A.
Lindhagen
Lindhagen is a Swedish surname most notably associated with the politician and social reformer Carl Lindhagen.
-
B.
Lindesberg
Lindesberg is a small historic town in central Sweden known for its mining heritage and lakeside setting.
-
C.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
D.
Vingåker
Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
-
E.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414620588190958ffde651ccab5f |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff45549e4881908ab0769e49ba5dc4 |
completed | May 9, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69ff470492f48190852ede832157ed10 |
completed | May 9, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff47e5647c81909b785a1212c4bc50 |
completed | May 9, 2026, 2:42 p.m. |
Created at: April 10, 2026, 4:05 a.m.