Triple
T27468984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American middle class |
E693255
|
entity |
| Predicate | typicalConsumption |
P200815
|
FINISHED |
| Object | mass-market consumer goods |
—
|
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: mass-market consumer goods | Statement: [American middle class, typicalConsumption, mass-market consumer goods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalConsumption Context triple: [American middle class, typicalConsumption, mass-market consumer goods]
-
A.
typicalConsumptionAge
Indicates the age at which something is most commonly or normally consumed.
-
B.
intendedConsumption
Indicates that one entity is meant or designed to be consumed or used up by another entity.
-
C.
typicalPower
Indicates the usual or characteristic amount of power associated with an entity under normal operating conditions.
-
D.
typicalSettingConsumed
Indicates the usual context or environment in which something is normally consumed.
-
E.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
- F. None of above. chosen
Provenance (4 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_69ffb1218cb08190a814c7f0833501a7 |
completed | May 9, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69ffb083d6988190b2757e0cfd629b75 |
completed | May 9, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69ffb120b9988190b6361c69265033c0 |
completed | May 9, 2026, 10:11 p.m. |
Created at: April 27, 2026, 12:53 p.m.