Triple
T4536161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tara Hills, California |
E107412
|
entity |
| Predicate | housingTypeCommon |
P51641
|
FINISHED |
| Object | post–World War II tract 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: post–World War II tract housing | Statement: [Tara Hills, California, housingTypeCommon, post–World War II tract housing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: housingTypeCommon Context triple: [Tara Hills, California, housingTypeCommon, post–World War II tract housing]
-
A.
housingPattern
Indicates the typical arrangement or distribution of housing units or residential structures within a given area or context.
-
B.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
C.
houseTypeLower
Indicates that one entity has a house type that is considered lower or less than another entity’s house type in some defined ordering or hierarchy.
-
D.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
E.
typicalHouse
chosen
Indicates that something is a standard or representative example of a house in terms of its usual features, structure, or characteristics.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b634b08190845d04213cf8d5b9 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.