Triple
T16109973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oststadt (Hanover) |
E390846
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Südstadt (Hanover) |
E1190512
|
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: Südstadt (Hanover) | Statement: [Oststadt (Hanover), borderedBy, Südstadt (Hanover)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Südstadt (Hanover) Context triple: [Oststadt (Hanover), borderedBy, Südstadt (Hanover)]
-
A.
Südstadt (Hanover)
chosen
Südstadt (Hanover) is a central residential district of Hanover, Germany, known for its historic architecture, green spaces, and proximity to the city center.
-
B.
Nordstadt (Hanover)
Nordstadt (Hanover) is a central district of Hanover, Germany, known for its vibrant student population, cultural diversity, and proximity to the university.
-
C.
Stolzenhagen
Stolzenhagen is a village and locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
-
D.
Oranienburger Vorstadt
Oranienburger Vorstadt is a historic neighborhood in central Berlin, known for its 19th-century urban fabric, cultural sites, and proximity to key political and intellectual centers of the city.
-
E.
Sprockhövel
Sprockhövel is a small town in North Rhine-Westphalia, Germany, known for its historical coal mining heritage and location in the hilly Ruhr region.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016665c0819081aa7a44b1d08183 |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba674788190a589104cf90f28d5 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 5 a.m.