Triple
T16821596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fischerinsel neighborhood |
E408905
|
entity |
| Predicate | administrativelyPartOf |
P15909
|
FINISHED |
| Object | Ortsteil Mitte |
E1055880
|
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: Ortsteil Mitte | Statement: [Fischerinsel neighborhood, administrativelyPartOf, Ortsteil Mitte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ortsteil Mitte Context triple: [Fischerinsel neighborhood, administrativelyPartOf, Ortsteil Mitte]
-
A.
Ortsteil Mitte
chosen
Ortsteil Mitte is the central district of Berlin, Germany, known for its historic core, major government buildings, and many of the city’s most famous landmarks.
-
B.
Beuel-Mitte
Beuel-Mitte is the central district of the Beuel borough in Bonn, Germany, serving as its main urban and commercial area.
-
C.
Anlage Mitte
Anlage Mitte was a component installation within Adolf Hitler’s network of Führer headquarters used during World War II.
-
D.
Bahnhofsviertel
Bahnhofsviertel is a central Frankfurt district known for its mix of historic Wilhelminian architecture, nightlife, red-light area, and growing creative and gastronomic scene.
-
E.
Stadtmitte
Stadtmitte is the central urban district of the town of Bad Honnef in North Rhine-Westphalia, Germany.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e77ab88190be1ec8179251864e |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29a3854819099eed580eea5d84d |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.