Triple
T23130969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holtålen |
E577166
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object |
Ålen
Ålen is a village in Trøndelag county, Norway, known as the main settlement in the municipality of Holtålen.
|
E1571455
|
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: Ålen | Statement: [Holtålen, administrativeCentre, Ålen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ålen Context triple: [Holtålen, administrativeCentre, Ålen]
-
A.
Ålvik
Ålvik is a small industrial village in Kvam municipality in Vestland county, western Norway, known historically for its ferroalloy production and scenic fjordside setting.
-
B.
Alvdal
Alvdal is a rural municipality in Innlandet county, Norway, known for its agricultural landscape, outdoor recreation, and association with the author Kjell Aukrust.
-
C.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
-
D.
Ålsten
Ålsten is a residential district in western Stockholm, Sweden, known for its garden city-style housing and proximity to Lake Mälaren.
-
E.
Älvdalen
Älvdalen is a small municipality in central Sweden known for its forested landscapes, traditional culture, and preservation of the unique Elfdalian language.
- 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: Ålen Triple: [Holtålen, administrativeCentre, Ålen]
Generated description
Ålen is a village in Trøndelag county, Norway, known as the main settlement in the municipality of Holtålen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ålen Target entity description: Ålen is a village in Trøndelag county, Norway, known as the main settlement in the municipality of Holtålen.
-
A.
Ålvik
Ålvik is a small industrial village in Kvam municipality in Vestland county, western Norway, known historically for its ferroalloy production and scenic fjordside setting.
-
B.
Alvdal
Alvdal is a rural municipality in Innlandet county, Norway, known for its agricultural landscape, outdoor recreation, and association with the author Kjell Aukrust.
-
C.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
-
D.
Ålsten
Ålsten is a residential district in western Stockholm, Sweden, known for its garden city-style housing and proximity to Lake Mälaren.
-
E.
Älvdalen
Älvdalen is a small municipality in central Sweden known for its forested landscapes, traditional culture, and preservation of the unique Elfdalian language.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e87cd188190b466f7a4c9670e56 |
completed | April 29, 2026, 4:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23f7dccc8190aaba967e73cc6892 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c28ed782c8190a60cf2212a1e7861 |
completed | May 19, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c29bca4c08190a29d4204c75b333f |
completed | May 19, 2026, 9:13 a.m. |
Created at: April 17, 2026, 4 p.m.