Triple
T13799316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Vänern |
E331596
|
entity |
| Predicate | primaryInflow |
P4496
|
FINISHED |
| Object | Norsälven |
E1066051
|
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: Norsälven | Statement: [Lake Vänern, primaryInflow, Norsälven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norsälven Context triple: [Lake Vänern, primaryInflow, Norsälven]
-
A.
Eidselva
Eidselva is a river in Norway that serves as one of the main waterways feeding into the lake Norsjø.
-
B.
Byälven
chosen
Byälven is a river in western Sweden that flows into Lake Vänern, contributing significantly to its water system.
-
C.
Nidelva
Nidelva is the main river flowing through Trondheim, Norway, known for its scenic bends, historic waterfront buildings, and central role in the city’s landscape.
-
D.
Sauarelva
Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
-
E.
Vesle
The Vesle is a river in northeastern France that flows through the Champagne region and was a significant geographic feature during World War I battles.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c70261c8819099408952f137456d |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.