Triple
T4940623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Therese of Saxe-Hildburghausen |
E110921
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Theresienwiese |
E118422
|
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: Theresienwiese | Statement: [Therese of Saxe-Hildburghausen, hasPart, Theresienwiese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theresienwiese Context triple: [Therese of Saxe-Hildburghausen, hasPart, Theresienwiese]
-
A.
Theresienwiese
chosen
Theresienwiese is a large open space in Munich, Germany, best known as the traditional site of the annual Oktoberfest beer festival.
-
B.
Mauerpark
Mauerpark is a popular public park and cultural hotspot in Berlin, known for its lively flea market, street performances, and open-air karaoke.
-
C.
Kaiserwiese
Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
-
D.
Tempelhofer Feld
Tempelhofer Feld is a vast public park and former airport in Berlin, Germany, known for its open runways, recreational spaces, and historical significance, including its role in the Berlin Airlift.
-
E.
Odeonsplatz
Odeonsplatz is a large historic square in central Munich, Germany, known for its grand architecture and role as a prominent cultural and political gathering place.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd708a3dcc81908b6628864fe0db0a |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77bf1f0481909cd007c78096f7c5 |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:31 p.m.