Triple
T18613136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Bernese Oberland |
E454948
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Niesen |
—
|
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: Niesen | Statement: [Canton of Bernese Oberland, contains, Niesen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niesen Context triple: [Canton of Bernese Oberland, contains, Niesen]
-
A.
Niesen
chosen
Niesen is a prominent pyramid-shaped mountain in the Swiss Alps overlooking Lake Thun in the Bernese Oberland.
-
B.
Nennig
Nennig is a village in southwestern Germany on the Moselle River, known for its Roman villa remains and its location opposite the Luxembourg town of Remich.
-
C.
Nisenan
The Nisenan are an Indigenous people of Northern California, traditionally inhabiting the Sierra Nevada foothills and Sacramento Valley, with a distinct Maidu language and culture.
-
D.
Erkheim
Erkheim is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
-
E.
Wasigny
Wasigny is a small commune in the Ardennes department of northern France, known for its historic medieval architecture and rural character.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d030d488190a992d10d3d28b4ad |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.