Triple
T16183955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U Kleistpark |
E392750
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Kleistpark |
E392750
|
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: Kleistpark | Statement: [U Kleistpark, namedAfter, Kleistpark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleistpark Context triple: [U Kleistpark, namedAfter, Kleistpark]
-
A.
U Kleistpark
chosen
U Kleistpark is a Berlin U-Bahn station on line U7 located in the Schöneberg district.
-
B.
Kletzsch Park
Kletzsch Park is a public recreational area in Glendale, Wisconsin, known for its scenic Milwaukee River views, trails, and outdoor amenities.
-
C.
Kühnauer Park
Kühnauer Park is a historic landscaped park in Dessau, Germany, that forms part of the UNESCO-listed Garden Kingdom of Dessau-Wörlitz.
-
D.
Duden Park
Duden Park is a public green space in the Brussels municipality of Uccle, known for its wooded areas, walking paths, and recreational facilities.
-
E.
Helke Park
Helke Park is a public recreational park located in Vandalia, Ohio, offering outdoor spaces and amenities for community activities and leisure.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205fc080819097858f36253fef7c |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0550b48190ac84946b7254552b |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.