Triple
T33450385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey suburbs |
E856620
|
entity |
| Predicate | housingTypes |
P119140
|
FINISHED |
| Object | single-family homes |
—
|
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: single-family homes | Statement: [New Jersey suburbs, housingTypes, single-family homes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: housingTypes Context triple: [New Jersey suburbs, housingTypes, single-family homes]
-
A.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
B.
typeOfHouse
chosen
Indicates the specific category or kind of house associated with an entity (e.g., apartment, detached house, townhouse).
-
C.
housingPattern
Indicates the typical arrangement or distribution of housing units or residential structures within a given area or context.
-
D.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
E.
domicileType
Indicates the category or kind of residence or dwelling 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e4aa66108190b8bf569c6fd53030 |
completed | May 3, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:37 a.m.