Triple
T17614959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adliswil |
E429058
|
entity |
| Predicate | hasRecreationalArea |
P5383
|
FINISHED |
| Object | Felsenegg |
—
|
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: Felsenegg | Statement: [Adliswil, hasRecreationalArea, Felsenegg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felsenegg Context triple: [Adliswil, hasRecreationalArea, Felsenegg]
-
A.
Felsenegg
chosen
Felsenegg is a popular vantage point and recreational area in the Albis hills near Zurich, Switzerland, known for its panoramic views over Lake Zurich and the surrounding region.
-
B.
Rorschacherberg
Rorschacherberg is a municipality in the canton of St. Gallen in northeastern Switzerland, situated above Lake Constance with views over the lake and surrounding region.
-
C.
Schönbichl
Schönbichl is a small island located in the Eibsee, a picturesque alpine lake at the foot of Germany’s Zugspitze mountain.
-
D.
Schlierach
Schlierach is a river in Bavaria, Germany, that flows through the Alpine foothills before joining the Mangfall.
-
E.
Vestenbergsgreuth
Vestenbergsgreuth is a small rural municipality in the Bavarian region of Germany, known for its agricultural setting and local Franconian 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3174008190a2b5bb1b061ea4df |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.