Triple
T16999917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hampstead and Kilburn |
E412413
|
entity |
| Predicate | hasMixedHousing |
P33911
|
FINISHED |
| Object | owner-occupied and social housing |
—
|
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: owner-occupied and social housing | Statement: [Hampstead and Kilburn, hasMixedHousing, owner-occupied and social housing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMixedHousing Context triple: [Hampstead and Kilburn, hasMixedHousing, owner-occupied and social housing]
-
A.
hasUrbanRuralMix
Indicates that something exhibits a combination or blend of both urban and rural characteristics or components.
-
B.
propertyTypeMix
chosen
Indicates that an entity involves or consists of a combination of different types of properties rather than a single uniform property type.
-
C.
hasHousingArrangement
Indicates that an entity has a specific type or status of housing or living arrangement in relation to another entity or context.
-
D.
hasPublicHousing
Indicates that a location or jurisdiction provides or contains government-funded residential housing available to the public.
-
E.
hasBlendOfResidentialAndIndustrialAreas
Indicates that a location contains a mix of both residential and industrial zones or land uses.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37d9f9081909aef52426d88940d |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.