Triple
T13118650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varanger Peninsula |
E311665
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nesseby
Nesseby is a small coastal municipality in Troms og Finnmark county in northern Norway, known for its Sámi culture and location along the Varangerfjorden.
|
E1022319
|
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: Nesseby | Statement: [Varanger Peninsula, contains, Nesseby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nesseby Context triple: [Varanger Peninsula, contains, Nesseby]
-
A.
Nesbyen
Nesbyen is a small town and municipality in southeastern Norway known for its inland valley setting, historic wooden buildings, and notably warm summer temperatures.
-
B.
Keadby
Keadby is a village in North Lincolnshire, England, known for its location on the River Trent and its nearby power station and transport links.
-
C.
Nockeby
Nockeby is a residential district in western Stockholm, Sweden, known as the terminus of one of the city's historic tram lines.
-
D.
Edsbyn
Edsbyn is a small town in Gävleborg County, Sweden, known for its bandy team and role as a local industrial and service center.
-
E.
Thorsby
Thorsby is a small town located in Chilton County, Alabama, known for its agricultural roots and rural community character.
- 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: Nesseby Triple: [Varanger Peninsula, contains, Nesseby]
Generated description
Nesseby is a small coastal municipality in Troms og Finnmark county in northern Norway, known for its Sámi culture and location along the Varangerfjorden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nesseby Target entity description: Nesseby is a small coastal municipality in Troms og Finnmark county in northern Norway, known for its Sámi culture and location along the Varangerfjorden.
-
A.
Nesbyen
Nesbyen is a small town and municipality in southeastern Norway known for its inland valley setting, historic wooden buildings, and notably warm summer temperatures.
-
B.
Keadby
Keadby is a village in North Lincolnshire, England, known for its location on the River Trent and its nearby power station and transport links.
-
C.
Nockeby
Nockeby is a residential district in western Stockholm, Sweden, known as the terminus of one of the city's historic tram lines.
-
D.
Edsbyn
Edsbyn is a small town in Gävleborg County, Sweden, known for its bandy team and role as a local industrial and service center.
-
E.
Thorsby
Thorsby is a small town located in Chilton County, Alabama, known for its agricultural roots and rural community character.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98182011c8190a504678affbb7787 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e284c3c881909d65e2ba89fbe7af |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e383dd8c8190872304c99b753152 |
completed | May 3, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e47b052c8190a6f6ca5a6bd210f5 |
completed | May 3, 2026, 6 a.m. |
Created at: April 9, 2026, 9:06 p.m.