Triple
T11827756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna Prater |
E281300
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Jesuitenwiese |
E276790
|
NE FINISHED |
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: Jesuitenwiese | Statement: [Vienna Prater, hasPart, Jesuitenwiese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesuitenwiese Context triple: [Vienna Prater, hasPart, Jesuitenwiese]
-
A.
Schönfeldwiese
Schönfeldwiese is a well-known open meadow in Munich’s Englischer Garten, popular for sunbathing, recreation, and its long tradition of nude bathing.
-
B.
Burgplatz
Burgplatz is a historic central square in Braunschweig, Germany, known for its medieval architecture and prominent landmarks such as Dankwarderode Castle and the Brunswick Lion.
-
C.
Burgplatz
Burgplatz is a historic central square in Düsseldorf’s Old Town, known for its riverside location on the Rhine and remnants of the former city castle.
-
D.
Kaiserwiese
chosen
Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
-
E.
Riedergarten
Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ec3a148190bb184ba0d481b16a |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1671989f88190b8c1fb520435a25e |
completed | April 29, 2026, 2:04 a.m. |
Created at: April 8, 2026, 9:43 p.m.