Triple
T4990568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tønsberg |
E112118
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Tjøme |
E190849
|
NE FINISHED |
How this triple was built (2 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: Tjøme | Statement: [Tønsberg, hasNearbyIsland, Tjøme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tjøme Context triple: [Tønsberg, hasNearbyIsland, Tjøme]
-
A.
Tjøme
chosen
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
-
B.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
-
C.
Drøbak
Drøbak is a coastal town in southeastern Norway known for its historic harbor, charming wooden houses, and role as a gateway to the Oslofjord.
-
D.
Sørkjosen
Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
-
E.
Fetsund
Fetsund is a village in Lillestrøm Municipality in Viken county, Norway, known for its riverside location and historic timber floating facilities along the Glomma River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd728141d48190a0713e6d33c50fb6 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0e1132881908fd6a540551e6318 |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:34 p.m.