Triple
T15574260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muonio |
E374327
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Kittilä |
E1145843
|
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: Kittilä | Statement: [Muonio, sharesBorderWith, Kittilä]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kittilä Context triple: [Muonio, sharesBorderWith, Kittilä]
-
A.
Kittilä
chosen
Kittilä is a municipality in Finnish Lapland known for its popular ski resorts, winter tourism, and Arctic landscapes.
-
B.
Kuusamo
Kuusamo is a town and municipality in northeastern Finland known for its rugged wilderness, outdoor tourism, and the popular Ruka ski resort.
-
C.
Jølstra
Jølstra is a river in Vestland county, Norway, known for flowing from the Jostedalsbreen glacier through lakes and valleys before reaching the fjord.
-
D.
Rovaniemi
Rovaniemi is a city in northern Finland that serves as the capital of Lapland and a popular gateway to the Arctic and Santa Claus–themed tourism.
-
E.
Valgella
Valgella is a renowned subzone of Italy’s Valtellina wine region, noted especially for its high-quality Nebbiolo-based red wines.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2140388190a8df7b835eaa72ce |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4767e48190a180062688cdc245 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:10 a.m.