Triple
T17727113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glåma |
E442490
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object | Lågen |
—
|
NE NERFINISHED |
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: Lågen | Statement: [Glåma, tributary, Lågen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lågen Context triple: [Glåma, tributary, Lågen]
-
A.
Lågen
chosen
Lågen is a major river in southeastern Norway that flows through the Gudbrandsdalen valley before joining the Mjøsa lake.
-
B.
Løten
Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
-
C.
Långlöt
Långlöt is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
-
D.
Lakkjia
Lakkjia is an alternative name for the Lakkia language, a Kam–Sui language spoken by the Lakkia people in parts of southern China.
-
E.
Luoravetlan
Luoravetlan is an indigenous people of northeastern Siberia, traditionally semi-nomadic reindeer herders and coastal hunters living in the Chukotka region of Russia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e3cb708190b47456ad2008a65e |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:07 a.m.