Triple
T3436919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecilienhof Palace |
E72475
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Neuer Garten |
E71647
|
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: Neuer Garten | Statement: [Cecilienhof Palace, locatedIn, Neuer Garten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuer Garten Context triple: [Cecilienhof Palace, locatedIn, Neuer Garten]
-
A.
Neuer Garten
chosen
Neuer Garten is a historic landscaped park in Potsdam, Germany, known for its picturesque lakeside setting and palaces such as Cecilienhof and Marmorpalais.
-
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.
Riedergarten
Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
-
D.
City of Gardens
City of Gardens is a popular nickname for Lahore, highlighting its historic abundance of parks, green spaces, and Mughal-era gardens.
-
E.
City of Gardens
The "City of Gardens" is a poetic nickname for Shiraz, a historic Iranian city renowned for its lush gardens, literary heritage, and cultural significance.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f4398c8190a75822068308037b |
completed | March 8, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35481a03c81908fd69da55d81aca3 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:16 p.m.