Triple
T11639734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tromsø Municipality |
E276627
|
entity |
| Predicate | hasPopulationCentre |
P2106
|
FINISHED |
| Object |
Kvaløysletta
Kvaløysletta is a residential area and population centre located on the island of Kvaløya in Tromsø, Norway, known for its suburban housing and proximity to the city of Tromsø.
|
E937441
|
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: Kvaløysletta | Statement: [Tromsø Municipality, hasPopulationCentre, Kvaløysletta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvaløysletta Context triple: [Tromsø Municipality, hasPopulationCentre, Kvaløysletta]
-
A.
Asmaløy
Asmaløy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday homes.
-
B.
Ivarsøy
Ivarsøy is a Norwegian surname most notably borne by Geir Ivarsøy, one of the original developers of the Opera web browser.
-
C.
Lauvøy
Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
-
D.
Bjerkvik
Bjerkvik is a small village in Narvik Municipality in Nordland county, northern Norway, situated at the head of the Herjangsfjord.
-
E.
Verdalsøra
Verdalsøra is a small town in Trøndelag county, Norway, known for its riverside setting and role as a local commercial and service hub.
- 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: Kvaløysletta Triple: [Tromsø Municipality, hasPopulationCentre, Kvaløysletta]
Generated description
Kvaløysletta is a residential area and population centre located on the island of Kvaløya in Tromsø, Norway, known for its suburban housing and proximity to the city of Tromsø.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kvaløysletta Target entity description: Kvaløysletta is a residential area and population centre located on the island of Kvaløya in Tromsø, Norway, known for its suburban housing and proximity to the city of Tromsø.
-
A.
Asmaløy
Asmaløy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday homes.
-
B.
Ivarsøy
Ivarsøy is a Norwegian surname most notably borne by Geir Ivarsøy, one of the original developers of the Opera web browser.
-
C.
Lauvøy
Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
-
D.
Bjerkvik
Bjerkvik is a small village in Narvik Municipality in Nordland county, northern Norway, situated at the head of the Herjangsfjord.
-
E.
Verdalsøra
Verdalsøra is a small town in Trøndelag county, Norway, known for its riverside setting and role as a local commercial and service hub.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87deb3888190842bd61efd7b3989 |
completed | April 26, 2026, 9:47 p.m. |
| NEDg | Description generation | batch_69eeb31438f88190bab71212293f2d2e |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd715b448190b738479b7c1379a2 |
completed | April 27, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.