Triple
T13282732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inari municipality |
E316364
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Ivalo |
E1037473
|
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: Ivalo | Statement: [Inari municipality, containsSettlement, Ivalo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivalo Context triple: [Inari municipality, containsSettlement, Ivalo]
-
A.
Ivalo
chosen
Ivalo is a village in northern Finnish Lapland known as a key transport hub and gateway to the surrounding Arctic wilderness and tourism areas.
-
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.
Karasjok
Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
-
D.
Sodankylä
Sodankylä is a municipality in Finnish Lapland known for its northern location, Arctic climate research, and the annual Midnight Sun Film Festival.
-
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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99047531c819087aa6406de1ddc82 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7305e1d70819096ff9784e9fafde9 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:27 p.m.