Triple
T23543352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randesund |
E577815
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Tømmerstø
Tømmerstø is a coastal residential neighborhood in the Randesund area of Kristiansand in Agder county, southern Norway.
|
E1591469
|
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: Tømmerstø | Statement: [Randesund, hasNeighbourhood, Tømmerstø]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tømmerstø Context triple: [Randesund, hasNeighbourhood, Tømmerstø]
-
A.
Tjøme
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
-
B.
Strynø
Strynø is a small Danish island in the Baltic Sea known for its rural charm, traditional village environment, and location between the larger islands of Langeland and Ærø.
-
C.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
-
D.
Turtagrø
Turtagrø is a mountain hotel and popular base for hiking and climbing in the Hurrungane range in western Norway.
-
E.
Sogn
Sogn is a traditional district in western Norway known for its dramatic fjord landscapes, including parts of the famous Sognefjord.
- 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: Tømmerstø Triple: [Randesund, hasNeighbourhood, Tømmerstø]
Generated description
Tømmerstø is a coastal residential neighborhood in the Randesund area of Kristiansand in Agder county, southern Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tømmerstø Target entity description: Tømmerstø is a coastal residential neighborhood in the Randesund area of Kristiansand in Agder county, southern Norway.
-
A.
Tjøme
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
-
B.
Strynø
Strynø is a small Danish island in the Baltic Sea known for its rural charm, traditional village environment, and location between the larger islands of Langeland and Ærø.
-
C.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
-
D.
Turtagrø
Turtagrø is a mountain hotel and popular base for hiking and climbing in the Hurrungane range in western Norway.
-
E.
Sogn
Sogn is a traditional district in western Norway known for its dramatic fjord landscapes, including parts of the famous Sognefjord.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1dbe188190bc4afe7bfa7cda0f |
completed | April 29, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf5fc0d08190a2d4dcc0206d4315 |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce348596481909924931969de8141 |
completed | May 19, 2026, 10:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce3e41c60819095760a2c5a224fb3 |
completed | May 19, 2026, 10:27 p.m. |
Created at: April 17, 2026, 6:11 p.m.