Triple
T12950546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HER |
E309879
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Berggarten |
E78650
|
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: Berggarten | Statement: [HER, associatedWith, Berggarten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berggarten Context triple: [HER, associatedWith, Berggarten]
-
A.
Berggarten
chosen
Berggarten is a historic botanical garden in Hanover, Germany, renowned for its diverse plant collections and greenhouses.
-
B.
Georgengarten
Georgengarten is a large English-style landscape park in Hanover, Germany, known for its expansive lawns, tree-lined avenues, and integration into the historic Herrenhausen Gardens ensemble.
-
C.
Riedergarten
Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
-
D.
Welfengarten
Welfengarten is a historic garden and urban green space in Hanover, Germany, known for its landscaped grounds and proximity to major educational institutions.
-
E.
Burggarten
Burggarten is a historic public park in central Vienna, Austria, known for its landscaped gardens, statues, and proximity to the former imperial Hofburg Palace.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1dc4c88190ab27b832d6a7c556 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8d9669c819090471eb7e035d83d |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:43 p.m.