Triple
T3882385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E6 |
E92854
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Karasjok |
E365882
|
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: Karasjok | Statement: [European route E6, passesThrough, Karasjok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karasjok Context triple: [European route E6, passesThrough, Karasjok]
-
A.
Karasjok
chosen
Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
-
B.
Longyearbyen
Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
-
C.
Narvik
Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
-
D.
Vardø
Vardø is a small coastal town in Norway’s far northeast, known as one of the country’s easternmost settlements and a historic Arctic gateway.
-
E.
Svolvær
Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec8e8b3481909617ca0e37f8a6d4 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533788a70819089d028cee84a7e87 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 9, 2026, 3:20 p.m.