Triple
T17470731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wädenswil |
E425405
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object | Zimmerberg |
—
|
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: Zimmerberg | Statement: [Wädenswil, locatedInRegion, Zimmerberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zimmerberg Context triple: [Wädenswil, locatedInRegion, Zimmerberg]
-
A.
Zimmerberg
chosen
Zimmerberg is a hilly region in the canton of Zurich, Switzerland, overlooking Lake Zurich and encompassing several suburban municipalities.
-
B.
Holterberg
Holterberg is a prominent hilly nature area in the Netherlands known for its heathlands, forests, and hiking and cycling trails within the Sallandse Heuvelrug National Park.
-
C.
Reisenberg
Reisenberg is a small municipality in Lower Austria’s Baden District, known for its rural character and proximity to Vienna.
-
D.
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.
-
E.
Enzberg
Enzberg is a district of the town of Mühlacker in the state of Baden-Württemberg, Germany.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451abab908190b6d9d8a64f7c2ea3 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.