Triple
T17370439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Begna |
E422294
|
entity |
| Predicate | hasNorwegianName |
P1435
|
FINISHED |
| Object | Begna |
—
|
NE ONNED1 |
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: Begna | Statement: [Begna, hasNorwegianName, Begna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Begna Context triple: [Begna, hasNorwegianName, Begna]
-
A.
Begna
chosen
Begna is a river in southeastern Norway that flows through the region of Ringerike and is known for its role in local hydropower production and freshwater ecosystems.
-
B.
Fellata
Fellata is an alternate name for the Fulani (Peul), a large West African ethnic group known for their pastoralist traditions and widespread presence across the Sahel.
-
C.
Bergharen
Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
-
D.
Vésenaz
Vésenaz is a residential village in the canton of Geneva, Switzerland, situated on the shores of Lake Geneva and forming part of the municipality of Collonge-Bellerive.
-
E.
Tolochenaz
Tolochenaz is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its quiet residential character and proximity to Lausanne.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a68ff448190b505861e56df5b6d |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019568a27c8190af1bbe6db75f3e6f |
in_progress | May 11, 2026, 8:38 a.m. |
Created at: April 10, 2026, 5:44 a.m.