Triple
T16214670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauerpark |
E393555
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Borough of Pankow |
E93479
|
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: Borough of Pankow | Statement: [Mauerpark, locatedIn, Borough of Pankow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borough of Pankow Context triple: [Mauerpark, locatedIn, Borough of Pankow]
-
A.
Borough council of Pankow
The Borough council of Pankow is the local governing body responsible for municipal administration and political decision-making in Berlin’s Pankow district.
-
B.
Tegel district
Tegel district is a locality in Berlin’s Reinickendorf borough known for its mix of residential areas, industrial sites, and proximity to Lake Tegel and the former Berlin Tegel Airport.
-
C.
Weidu District
Weidu District is an urban district that serves as the central administrative area of Xuchang city in Henan Province, China.
-
D.
Xicheng District, Beijing
Xicheng District, Beijing is a central urban district of Beijing known for its historic neighborhoods, government institutions, and major cultural and financial landmarks.
-
E.
Pankow
chosen
Pankow is a northeastern borough of Berlin known for its mix of historic neighborhoods, green spaces, and the popular district of Prenzlauer Berg.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f393e08190be93400d754f0a2d |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f87bd588190afb91d21eebd00e3 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:03 a.m.