Triple
T14734583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tvedestrand |
E346169
|
entity |
| Predicate | hasUrbanArea |
P316
|
FINISHED |
| Object | Tvedestrand town centre |
E346169
|
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: Tvedestrand town centre | Statement: [Tvedestrand, hasUrbanArea, Tvedestrand town centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tvedestrand town centre Context triple: [Tvedestrand, hasUrbanArea, Tvedestrand town centre]
-
A.
Tvedestrand
chosen
Tvedestrand is a coastal town and municipality in southern Norway known for its wooden houses, maritime heritage, and picturesque archipelago.
-
B.
Trondheim Torg shopping center
Trondheim Torg shopping center is a central retail complex in downtown Trondheim, Norway, featuring a wide range of shops, dining options, and services.
-
C.
Smestad
Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
-
D.
Hafjell village
Hafjell village is a small Norwegian settlement known primarily for its proximity to the Hafjell ski resort and the Lillehammer Olympic region.
-
E.
Tøyen Torg
Tøyen Torg is a central square and commercial hub in Oslo’s Tøyen neighborhood, known for its shops, cafés, and multicultural urban atmosphere.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec72ea9348190817efcdaa973d7f7 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ce6514c8190a37b023dcc0c1b1a |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.