Triple
T23527297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halensee station |
E576466
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Halensee locality |
—
|
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: Halensee locality | Statement: [Halensee station, near, Halensee locality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halensee locality Context triple: [Halensee station, near, Halensee locality]
-
A.
Halensee
chosen
Halensee is a railway station in Berlin that serves the city's circular Ringbahn line, connecting the Halensee district to the wider urban rail network.
-
B.
Neu-Hohenschönhausen locality
Neu-Hohenschönhausen is a residential locality in the northeast of Berlin, Germany, known for its large prefabricated housing estates built during the GDR era.
-
C.
Malchow locality
Malchow locality is a small residential district in the Berlin borough of Lichtenberg, known for its village-like character and surrounding green spaces.
-
D.
Hasenheide
"Hasenheide" is a song by the Scottish post-rock band Mogwai, released as the B-side to their single "Rano Pano."
-
E.
Marienfelde
Marienfelde is a locality in the southern part of Berlin known for its residential areas and historical refugee reception center.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac74be1881909161b94aa611188a |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:09 p.m.