Triple
T27606582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern California car culture |
E700196
|
entity |
| Predicate | grewRapidlyInDecade |
P16148
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Southern California car culture, grewRapidlyInDecade, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grewRapidlyInDecade Context triple: [Southern California car culture, grewRapidlyInDecade, 1960s]
-
A.
experiencedRapidGrowthInCentury
Indicates that the entity underwent a significant and swift increase or expansion during the specified century.
-
B.
intensifiedInDecade
Indicates that the intensity, frequency, or impact of something increased during a specified decade.
-
C.
developedRapidlyDuring
chosen
Indicates that one entity experienced swift or accelerated development within the time period or context defined by another entity.
-
D.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence during a specified decade.
-
E.
declineBeganInDecade
Indicates that the period of decline for an entity or phenomenon started during the specified decade.
- 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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:09 p.m.