Triple
T12150862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardufoss |
E289447
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Setermoen |
E381848
|
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: Setermoen | Statement: [Bardufoss, hasNearbyTown, Setermoen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Setermoen Context triple: [Bardufoss, hasNearbyTown, Setermoen]
-
A.
Setermoen
chosen
Setermoen is a small town in northern Norway that serves as the administrative center of Bardu Municipality and hosts one of the country’s main military garrisons.
-
B.
The Settlement
The Settlement is the main inhabited village of Edinburgh of the Seven Seas, the remote capital of Tristan da Cunha in the South Atlantic Ocean.
-
C.
Settle
Settle is a small market town in North Yorkshire, England, known as a gateway to the Yorkshire Dales and the scenic Settle–Carlisle railway.
-
D.
Sepetiba
Sepetiba is a coastal neighborhood in Rio de Janeiro known for its bay, fishing activities, and industrial port area.
-
E.
Entemena
Entemena was an early dynastic Sumerian ruler of the city-state of Lagash, known for consolidating its power and commissioning some of the earliest known royal inscriptions.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ae736c8190aaab05efb93c5854 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69aa2e88190aaa58468571d6dad |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.