Triple
T18736219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmental Alps |
E458169
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Sörenberg |
—
|
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: Sörenberg | Statement: [Emmental Alps, hasSettlement, Sörenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sörenberg Context triple: [Emmental Alps, hasSettlement, Sörenberg]
-
A.
Sörenberg
chosen
Sörenberg is a Swiss alpine village and ski resort in the canton of Lucerne, known for its scenic mountain landscapes and outdoor activities year-round.
-
B.
Seelenberg
Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in Germany.
-
C.
Kleihues
Kleihues is a German surname most notably associated with architect Josef Paul Kleihues, known for his influential postmodern and urban reconstruction projects.
-
D.
Presberg
Presberg is a small district of the town Rüdesheim am Rhein in the Rheingau region of Hesse, Germany, known for its scenic location above the Rhine and surrounding vineyards and forests.
-
E.
Belpberg
Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57689fa508190ad821d361cba9edf |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.