Triple
T9990722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falkenberg (Berlin) |
E196878
|
entity |
| Predicate | locatedOnUrbanPeriphery |
P68769
|
FINISHED |
| Object | northeastern edge of Berlin |
—
|
LITERAL 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: northeastern edge of Berlin | Statement: [Falkenberg (Berlin), locatedOnUrbanPeriphery, northeastern edge of Berlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnUrbanPeriphery Context triple: [Falkenberg (Berlin), locatedOnUrbanPeriphery, northeastern edge of Berlin]
-
A.
isLocatedOnOutskirtsOf
chosen
Indicates that one entity is situated on the outer edge or peripheral area of another entity, rather than in its central or inner part.
-
B.
locatedInUrbanizationType
Indicates that one entity is situated within, or belongs to, a specific type or category of urbanized area (e.g., city, suburb, metropolitan zone).
-
C.
withinUrbanArea
Indicates that one entity is located inside the spatial boundaries of an urban area associated with another entity.
-
D.
hasUrbanProximity
Indicates that one entity is located near or within easy access to an urban area associated with another entity.
-
E.
isUrbanNeighborhood
Indicates that a given area functions as a neighborhood located within an urban or city environment.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc7a0cb6481908d7bd1b43f93bd18 |
completed | April 2, 2026, 1:34 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.