Triple
T3102026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnøy |
E64739
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Randaberg
Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
|
E348342
|
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: Randaberg | Statement: [Finnøy, locatedNear, Randaberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randaberg Context triple: [Finnøy, locatedNear, Randaberg]
-
A.
Arendal
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
-
B.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
C.
Grimstad
Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
-
D.
Kragerø
Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
-
E.
Eiderstedt
Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
- 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: Randaberg Triple: [Finnøy, locatedNear, Randaberg]
Generated description
Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Randaberg Target entity description: Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
-
A.
Arendal
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
-
B.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
C.
Grimstad
Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
-
D.
Kragerø
Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
-
E.
Eiderstedt
Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26c76ec81908d11f82be573c518 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a4da4b48190987aa1c1f5f61fd9 |
completed | March 12, 2026, 7:55 p.m. |
| NEDg | Description generation | batch_69b31c33fc3c8190b5af3f38206736de |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31c9f48788190bdf4b4ce47e1e5b5 |
completed | March 12, 2026, 8:05 p.m. |
Created at: March 8, 2026, 3:03 p.m.