Triple
T20972495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldeck Upland |
E516536
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Wüstegarten |
—
|
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: Wüstegarten | Statement: [Waldeck Upland, highestPoint, Wüstegarten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wüstegarten Context triple: [Waldeck Upland, highestPoint, Wüstegarten]
-
A.
Wüstegarten
chosen
Wüstegarten is a prominent mountain peak in the Kellerwald range of Hesse, Germany, known for its forested slopes and hiking trails.
-
B.
Großer Garten
Großer Garten is a large historic baroque-style park in Hanover, Germany, known for its formal gardens, avenues, and cultural attractions.
-
C.
Neuer Garten
Neuer Garten is a historic landscaped park in Potsdam, Germany, known for its picturesque lakeside setting and palaces such as Cecilienhof and Marmorpalais.
-
D.
Neues Garten
Neues Garten is a historic landscaped park in Potsdam, Germany, known for its palaces, including the Marmorpalais, and its picturesque setting by the Heiliger See.
-
E.
Lustgarten
Lustgarten is a historic public park and square on Berlin’s Museum Island, long used as a parade ground and gathering place.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba161d88190b8905891f449004e |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:44 p.m.