Triple
T4039642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borsigwalde |
E83913
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Bezirk Spandau |
E246414
|
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: Bezirk Spandau | Statement: [Borsigwalde, adjacentTo, Bezirk Spandau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bezirk Spandau Context triple: [Borsigwalde, adjacentTo, Bezirk Spandau]
-
A.
Berliner Bezirk Spandau
chosen
Berliner Bezirk Spandau is a historic western district of Berlin, Germany, known for its medieval old town, Spandau Citadel fortress, and mix of residential, industrial, and green areas along the Havel River.
-
B.
Pankow
Pankow is a northeastern borough of Berlin known for its mix of historic neighborhoods, green spaces, and the popular district of Prenzlauer Berg.
-
C.
Treptow-Köpenick
Treptow-Köpenick is Berlin’s largest and greenest borough, known for its extensive forests, lakes, and historic town centers such as Köpenick.
-
D.
Friedrichshain
Friedrichshain is a vibrant district in Berlin known for its alternative culture, nightlife, and historic sites including remnants of the Berlin Wall.
-
E.
Tempelhof-Schöneberg
Tempelhof-Schöneberg is a borough of Berlin, Germany, known for its mix of historic residential areas, the former Tempelhof Airport, and significant Cold War-era political sites.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb37e24c81908d6357ab8ba5388d |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be777b514081909832a8a520a7f7d1 |
completed | March 21, 2026, 10:48 a.m. |
Created at: March 9, 2026, 3:37 p.m.