Triple
T28737994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Mouzaïa neighborhood |
E730852
|
entity |
| Predicate | housingUse |
P65667
|
FINISHED |
| Object | primarily residential |
—
|
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: primarily residential | Statement: [La Mouzaïa neighborhood, housingUse, primarily residential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: housingUse Context triple: [La Mouzaïa neighborhood, housingUse, primarily residential]
-
A.
houseUse
chosen
Indicates how a house or dwelling is used or purposed (e.g., residential, commercial, mixed-use).
-
B.
residenceUsedFor
Indicates that a particular residence is used for a specific purpose, function, or activity.
-
C.
housingPattern
Indicates the typical arrangement or distribution of housing units or residential structures within a given area or context.
-
D.
usesDwelling
Indicates that an entity occupies or makes use of a particular dwelling as a place of residence or activity.
-
E.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:01 a.m.