Triple
T6669906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gesundbrunnen locality |
E151699
|
entity |
| Predicate | urbanFabric |
P51491
|
FINISHED |
| Object | mix of residential and industrial areas |
—
|
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: mix of residential and industrial areas | Statement: [Gesundbrunnen locality, urbanFabric, mix of residential and industrial areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanFabric Context triple: [Gesundbrunnen locality, urbanFabric, mix of residential and industrial areas]
-
A.
urbanDesign
Indicates the relationship in which an entity is responsible for planning, organizing, or shaping the physical layout and functional structure of urban spaces.
-
B.
hasUrbanFabric
chosen
Indicates that one entity possesses, contains, or is characterized by a particular pattern or structure of built-up urban development.
-
C.
urbanContinuity
Indicates that two or more urban areas are spatially connected or form a continuous built-up zone without significant gaps.
-
D.
urbanDesigner
Indicates a relationship where an entity practices or is responsible for planning and designing urban spaces, environments, or city layouts.
-
E.
urbanAdaptation
Indicates how well an entity adjusts its behavior, structure, or function to survive and operate effectively in urban environments.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce738fe88190a5557900efeec7ec |
completed | March 27, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69c6ad09974c81908784300ae218961f |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:02 p.m.