Triple
T14295408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Berlin |
E354425
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Gesundbrunnen |
E353647
|
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: Gesundbrunnen | Statement: [Northern Berlin, hasPart, Gesundbrunnen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gesundbrunnen Context triple: [Northern Berlin, hasPart, Gesundbrunnen]
-
A.
Gesundbrunnen
chosen
Gesundbrunnen is a locality in Berlin, Germany, known for its dense urban character, diverse population, and major transport hub around the Gesundbrunnen station.
-
B.
Königsbrunn
Königsbrunn is a town in Bavaria, Germany, located just south of Augsburg and known as a residential and commercial suburb of the city.
-
C.
Friedrichsbad
Friedrichsbad is a historic 19th-century Roman-Irish bathhouse in Baden-Baden, Germany, renowned for its ornate architecture and traditional thermal bathing rituals.
-
D.
Heilbad Heiligenstadt
Heilbad Heiligenstadt is a spa town in central Germany known for its therapeutic baths and role as an administrative and cultural center of the Eichsfeld region.
-
E.
Beuthen
Beuthen is the historical German name for the city of Bytom in southern Poland’s Upper Silesia region.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2281d481909714f8d8cfe71514 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:11 a.m.