Triple
T5098175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fosen |
E114916
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Brekstad
Brekstad is a coastal town in central Norway that serves as an administrative and commercial center for the Fosen region.
|
E501549
|
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: Brekstad | Statement: [Fosen, contains, Brekstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brekstad Context triple: [Fosen, contains, Brekstad]
-
A.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
B.
Blakstad
Blakstad is a village in Agder county, Norway, known as the main local hub for services and administration in the surrounding Froland area.
-
C.
Brevik
Brevik is a locality within Tyresö Municipality in Stockholm County, Sweden, known for its coastal residential areas and proximity to the Stockholm archipelago.
-
D.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
-
E.
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.
- 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: Brekstad Triple: [Fosen, contains, Brekstad]
Generated description
Brekstad is a coastal town in central Norway that serves as an administrative and commercial center for the Fosen region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brekstad Target entity description: Brekstad is a coastal town in central Norway that serves as an administrative and commercial center for the Fosen region.
-
A.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
B.
Blakstad
Blakstad is a village in Agder county, Norway, known as the main local hub for services and administration in the surrounding Froland area.
-
C.
Brevik
Brevik is a locality within Tyresö Municipality in Stockholm County, Sweden, known for its coastal residential areas and proximity to the Stockholm archipelago.
-
D.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
-
E.
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.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7567d21081909227ed8f08b74c71 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee067be548190b280674ebf125ca3 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee62f493881909e8b484534e75359 |
completed | March 21, 2026, 6:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6d1eae481909f3861b7c0adc2fd |
completed | March 21, 2026, 6:43 p.m. |
Created at: March 20, 2026, 1:40 p.m.