Triple
T27468981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American middle class |
E693255
|
entity |
| Predicate | typicalAsset |
P101738
|
FINISHED |
| Object | primary residence |
—
|
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: primary residence | Statement: [American middle class, typicalAsset, primary residence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAsset Context triple: [American middle class, typicalAsset, primary residence]
-
A.
assetType
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
B.
typicalItem
chosen
Indicates that an item is a representative or characteristic example of a broader category, class, or set.
-
C.
asset
Indicates that one entity is a valuable resource, item, or property owned, controlled, or beneficially used by another entity.
-
D.
primaryAsset
Indicates that one entity is the main or most important asset associated with another entity.
-
E.
peakAssets
Indicates the maximum level of assets held by an entity over a specified period or within a given context.
- 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_69ef538105548190a771cc5a0cf8c211 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ffada24d188190a576a02dc280a7fb |
completed | May 9, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69ffad46d6ac819081772f408b1389d5 |
completed | May 9, 2026, 9:55 p.m. |
Created at: April 27, 2026, 12:53 p.m.