Triple
T17812624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haselhorst |
E444749
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Siemensstadt |
—
|
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: Siemensstadt | Statement: [Haselhorst, adjacentTo, Siemensstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siemensstadt Context triple: [Haselhorst, adjacentTo, Siemensstadt]
-
A.
Siemensstadt
chosen
Siemensstadt is a Berlin neighborhood historically shaped by the Siemens industrial works and noted for its early 20th-century modernist housing developments.
-
B.
Konstadt
Konstadt is the historical German name for the Polish town of Wołczyn in the Opole Voivodeship.
-
C.
Maxvorstadt
Maxvorstadt is a central Munich district known for its concentration of major art museums, universities, and cultural institutions.
-
D.
Oststadt
Oststadt is a central district of Hanover, Germany, known for its urban residential areas, cultural venues, and proximity to the city’s main commercial and administrative centers.
-
E.
Lippendorf
Lippendorf is a village in Saxony, Germany, historically notable as the birthplace of Katharina von Bora, the wife of Martin Luther.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887c63608190b29a407cabff0bc5 |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.