Triple
T15751248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setermoen |
E381848
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object |
Bardu
Bardu is a municipality in Troms og Finnmark county in northern Norway, known for its inland valleys, military presence, and outdoor recreation opportunities.
|
E1175955
|
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: Bardu | Statement: [Setermoen, municipality, Bardu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bardu Context triple: [Setermoen, municipality, Bardu]
-
A.
Bliznaka
Bliznaka is one of Bulgaria’s famous Seven Rila Lakes, known for its distinctive twin-like shape and scenic alpine surroundings in the Rila Mountains.
-
B.
Buir
Buir is a district or locality within the town of Kerpen in North Rhine-Westphalia, Germany.
-
C.
Blizne
Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
-
D.
Nivala
Nivala is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and agricultural surroundings.
-
E.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
- 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: Bardu Triple: [Setermoen, municipality, Bardu]
Generated description
Bardu is a municipality in Troms og Finnmark county in northern Norway, known for its inland valleys, military presence, and outdoor recreation opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bardu Target entity description: Bardu is a municipality in Troms og Finnmark county in northern Norway, known for its inland valleys, military presence, and outdoor recreation opportunities.
-
A.
Bliznaka
Bliznaka is one of Bulgaria’s famous Seven Rila Lakes, known for its distinctive twin-like shape and scenic alpine surroundings in the Rila Mountains.
-
B.
Buir
Buir is a district or locality within the town of Kerpen in North Rhine-Westphalia, Germany.
-
C.
Blizne
Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
-
D.
Nivala
Nivala is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and agricultural surroundings.
-
E.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876d48588190afec7722cca25633 |
completed | May 9, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69ff8b6c44d081908e35ca17b5ce2189 |
completed | May 9, 2026, 7:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8ca1c1f08190aeb6f7421d54c2de |
completed | May 9, 2026, 7:36 p.m. |
Created at: April 10, 2026, 4:47 a.m.