Triple
T21079050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Döbling |
E519311
|
entity |
| Predicate | hasGeographicalFeature |
P1094
|
FINISHED |
| Object | Vienna Woods |
—
|
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: Vienna Woods | Statement: [Döbling, hasGeographicalFeature, Vienna Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vienna Woods Context triple: [Döbling, hasGeographicalFeature, Vienna Woods]
-
A.
Vienna Woods
The Vienna Woods is a forested highland region in eastern Austria known for its natural beauty, hiking trails, and role as a green belt near Vienna.
-
B.
Rottenegg
Rottenegg is a small village that forms one of the local subdivisions of the Bavarian town of Geisenfeld in Germany.
-
C.
Schönengrund
Schönengrund is a small rural municipality in northeastern Switzerland known for its scenic Appenzell countryside and traditional Swiss village character.
-
D.
Wildberg
Wildberg is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its scenic setting along the Nagold River and historic half-timbered architecture.
-
E.
Wienerwald
chosen
Wienerwald is a forested highland region in eastern Austria, forming the northeastern foothills of the Alps near Vienna and serving as a popular recreational area.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702d939e08190a37d7b7cc1872ad5 |
completed | April 21, 2026, 4:53 a.m. |
Created at: April 16, 2026, 2:49 p.m.