Triple
T17861179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berger Straße |
E446074
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | district of Nordend |
—
|
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: district of Nordend | Statement: [Berger Straße, partOf, district of Nordend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: district of Nordend Context triple: [Berger Straße, partOf, district of Nordend]
-
A.
Nordend-West
Nordend-West is a central residential district of Frankfurt am Main, Germany, known for its historic architecture, lively urban atmosphere, and proximity to the city center.
-
B.
Nordend-Ost
chosen
Nordend-Ost is a central urban district of Frankfurt am Main, Germany, known for its dense residential areas, lively cultural scene, and proximity to the city center.
-
C.
Nordend
Nordend is one of the main summits of the Monte Rosa massif in the Pennine Alps, known as one of the highest peaks in Switzerland.
-
D.
Nordend
Nordend is a district of the German town of Eberswalde in the state of Brandenburg.
-
E.
North End
North End is a historic residential and industrial neighborhood in the city of Saint John, New Brunswick, known for its working-class character and waterfront location.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4979013dc8190beb7718f0ba92bc3 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.