Triple
T10950742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuhlsbüttel |
E258718
|
entity |
| Predicate | hasNeighbouringQuarter |
P96797
|
FINISHED |
| Object | Ohlsdorf |
E478930
|
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: Ohlsdorf | Statement: [Fuhlsbüttel, hasNeighbouringQuarter, Ohlsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ohlsdorf Context triple: [Fuhlsbüttel, hasNeighbouringQuarter, Ohlsdorf]
-
A.
Ohlsdorf, Hamburg
chosen
Ohlsdorf, Hamburg is a northern district of Hamburg, Germany, best known for containing one of the world’s largest rural cemeteries, Ohlsdorf Cemetery.
-
B.
Lippendorf
Lippendorf is a village in Saxony, Germany, historically notable as the birthplace of Katharina von Bora, the wife of Martin Luther.
-
C.
Olsberg
Olsberg is a small town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its scenic location in the Sauerland hills and outdoor recreation opportunities.
-
D.
Wallenhorst
Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
-
E.
Wallhausen
Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ed2f1c819081ec58457f57889d |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c57038c819087671177c2ed5633 |
completed | April 17, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:23 p.m.