Triple
T12057243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maifeld |
E287072
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Waldbühne Berlin |
E287073
|
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: Waldbühne Berlin | Statement: [Maifeld, adjacentTo, Waldbühne Berlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldbühne Berlin Context triple: [Maifeld, adjacentTo, Waldbühne Berlin]
-
A.
Waldbühne
chosen
Waldbühne is a large open-air amphitheater in Berlin, Germany, renowned as a historic cultural and concert venue originally built for the 1936 Olympic Games.
-
B.
Volkspark Prenzlauer Berg
Volkspark Prenzlauer Berg is a large public park in Berlin known for its landscaped hills, walking paths, and recreational green spaces.
-
C.
Volkspark Friedrichshain
Volkspark Friedrichshain is a large historic public park in Berlin known for its wooded hills, walking paths, and recreational facilities.
-
D.
Haus der Berliner Festspiele
Haus der Berliner Festspiele is a prominent cultural venue in Berlin that hosts many of the city’s major theater, music, and arts festivals and events.
-
E.
Mauerpark
Mauerpark is a popular public park and cultural hotspot in Berlin, known for its lively flea market, street performances, and open-air karaoke.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043bf0ec8190a51ef2641808320c |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.