Triple
T617798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herrenhausen Palace |
E14443
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | City of Hanover |
E21642
|
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: City of Hanover | Statement: [Herrenhausen Palace, ownedBy, City of Hanover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Hanover Context triple: [Herrenhausen Palace, ownedBy, City of Hanover]
-
A.
Hanover
chosen
Hanover is a historic city in northern Germany that served as the capital of the former Kingdom of Hanover and the ancestral seat of the British House of Hanover.
-
B.
Oldenburg
Oldenburg is a historic university city in northwestern Germany known for its cultural heritage and role as a regional economic center.
-
C.
Mitte, Hanover
Mitte, Hanover is the central district of the German city of Hanover, encompassing its historic core, main governmental buildings, and key cultural landmarks.
-
D.
Lüneburg
Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
-
E.
Braunschweig
Braunschweig is a historic city in northern Germany known for its medieval architecture, cultural institutions, and role as an important economic and scientific center.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e2418c881908552d2c4a5006e97 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5693312888190bdf7bfa120d22520 |
completed | March 2, 2026, 10:40 a.m. |
Created at: March 1, 2026, 7:35 p.m.