Triple
T25030811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WISTA Science and Technology Park |
E626836
|
entity |
| Predicate | isLocatedInUrbanDistrict |
P115891
|
FINISHED |
| Object | Treptow-Köpenick |
—
|
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: Treptow-Köpenick | Statement: [WISTA Science and Technology Park, isLocatedInUrbanDistrict, Treptow-Köpenick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInUrbanDistrict Context triple: [WISTA Science and Technology Park, isLocatedInUrbanDistrict, Treptow-Köpenick]
-
A.
isUrbanDistrict
Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
-
B.
isOneOfUrbanDistrictsOf
chosen
Indicates that an entity is a member of the set of urban districts belonging to a specified larger administrative area or city.
-
C.
isPartOfUrbanDistrictType
Indicates that one administrative or geographic unit belongs to, or is classified within, a specific type of urban district.
-
D.
isUrbanConstituency
Indicates that a given constituency is classified as urban rather than rural or semi-urban.
-
E.
containsUrbanArea
Indicates that a geographic region fully or partially encompasses an urbanized area within its boundaries.
- F. None of above.
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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:07 a.m.