Triple
T101084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Chicken in Every Pot and a Car in Every Garage |
E2040
|
entity |
| Predicate | timeOfUse |
P302
|
FINISHED |
| Object | 1928 |
—
|
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: 1928 | Statement: [A Chicken in Every Pot and a Car in Every Garage, timeOfUse, 1928]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfUse Context triple: [A Chicken in Every Pot and a Car in Every Garage, timeOfUse, 1928]
-
A.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
B.
chargeOftenUsed
Indicates that an entity is frequently subjected to or associated with a particular charge (such as a legal, financial, or electrical charge).
-
C.
usesElectricityStandard
Indicates that one entity operates according to, or is compatible with, the electricity supply standard defined or used by another entity.
-
D.
usedDuring
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
-
E.
historicalDSTUsage
Indicates that there was a period in the past when the entity or location observed daylight saving time, even if it may not do so currently.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a25760af348190bf402089c240887d |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2563921f8819087f720b1c803579f |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.