Triple
T6924598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luleå |
E160272
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Tromsø, Norway |
E56624
|
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: Tromsø, Norway | Statement: [Luleå, hasTwinTown, Tromsø, Norway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tromsø, Norway Context triple: [Luleå, hasTwinTown, Tromsø, Norway]
-
A.
Tromsø
chosen
Tromsø is a city in northern Norway known for its Arctic location, vibrant cultural scene, and prominence as a viewing spot for the Northern Lights.
-
B.
Rosendal, Norway
Rosendal, Norway is a small village in Kvinnherad municipality in Vestland county, known for its dramatic fjord landscape and the historic Barony Rosendal manor.
-
C.
Bodø
Bodø is a coastal city in northern Norway known as a regional hub for culture, transport, and access to Arctic nature.
-
D.
Hamar, Norway
Hamar, Norway is a town in southeastern Norway known for its prominent ice sports facilities and role as a major venue for international speed skating competitions.
-
E.
Horten, Norway
Horten, Norway is a coastal town and municipality in Vestfold known for its maritime heritage, naval history, and ferry link across the Oslofjord.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da18b6388190947dfc1eb9e5d382 |
completed | March 27, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c364d248190a5ce03fd52de91ba |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 2:26 p.m.