Triple
T14266285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sprengelkiez |
E353651
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object | Sprengelpark |
E1090275
|
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: Sprengelpark | Statement: [Sprengelkiez, hasGreenSpace, Sprengelpark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sprengelpark Context triple: [Sprengelkiez, hasGreenSpace, Sprengelpark]
-
A.
Sprengelpark
chosen
Sprengelpark is a neighborhood park in Berlin’s Sprengelkiez area, offering green space, playgrounds, and recreational areas for local residents.
-
B.
Spreepark
Spreepark is an abandoned amusement park in Berlin, Germany, known for its derelict rides and eerie, overgrown fairground atmosphere.
-
C.
Spreebogenpark
Spreebogenpark is a riverside urban park in central Berlin known for its modern landscape design and views of key government and cultural buildings along the Spree River.
-
D.
Gaasperpark
Gaasperpark is a large recreational and nature park in the southeastern part of Amsterdam, known for its lakeside beaches, walking and cycling paths, and green open spaces.
-
E.
Alaunpark
Alaunpark is a popular urban green space in Dresden’s Neustadt district, known for its open lawns, recreational areas, and role as a central gathering spot for locals.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d16bae881909b38ccf04f1cf823 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:09 a.m.