Triple
T21095886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humboldt-Insel |
E519763
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ortsteil Wedding |
—
|
NE NERFINISHED |
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 Wedding | Statement: [Humboldt-Insel, locatedIn, Ortsteil Wedding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ortsteil Wedding Context triple: [Humboldt-Insel, locatedIn, Ortsteil Wedding]
-
A.
Stadtteil Scheuern
Stadtteil Scheuern is a district of the town of Gernsbach in the Black Forest region of Baden-Württemberg, Germany.
-
B.
Berlin-Wedding
chosen
Berlin-Wedding is a diverse, historically working-class district in northwestern Berlin known for its multicultural population, affordable housing, and growing arts and student scene.
-
C.
Schöneberg district
Schöneberg district is a central borough of Berlin, Germany, known for its vibrant cultural scene, historical significance, and diverse urban neighborhoods.
-
D.
Stadtteil Staufenberg
Stadtteil Staufenberg is a district of the town of Gernsbach in the Black Forest region of Baden-Württemberg, Germany, known for its scenic setting and residential character.
-
E.
Dorotheenstadt
Dorotheenstadt is a historic district in central Berlin, Germany, known for its cultural significance and notable institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5845f88190a16f3df157f0906c |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.