Triple
T7627293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lule River |
E172666
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Jokkmokk Municipality |
E389738
|
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: Jokkmokk Municipality | Statement: [Lule River, flowsThrough, Jokkmokk Municipality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jokkmokk Municipality Context triple: [Lule River, flowsThrough, Jokkmokk Municipality]
-
A.
Mora Municipality
Mora Municipality is a local administrative region in Portugal known for its rural landscapes, traditional Alentejo culture, and archaeological and natural heritage.
-
B.
Lekeberg Municipality
Lekeberg Municipality is a local government area in central Sweden known for its rural landscapes and location within Örebro County.
-
C.
Arjeplog Municipality
chosen
Arjeplog Municipality is a sparsely populated area in northern Sweden known for its vast wilderness, numerous lakes, and strong Sámi cultural heritage.
-
D.
Vanylven Municipality
Vanylven Municipality is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
-
E.
Kinn Municipality
Kinn Municipality is a coastal municipality in western Norway known for its rugged coastline, fishing communities, and maritime industries.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa8150ac8190908aec411b0f4e50 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac8d59048190948eebf6f5979cf9 |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 3:56 p.m.