Triple
T38665035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia |
E940430
|
entity |
| Predicate | hadPeakPopularityInDecade |
P79180
|
FINISHED |
| Object | 1920s (United States) |
—
|
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: 1920s (United States) | Statement: [Virginia, hadPeakPopularityInDecade, 1920s (United States)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPeakPopularityInDecade Context triple: [Virginia, hadPeakPopularityInDecade, 1920s (United States)]
-
A.
reachedPeakInDecade
Indicates that an entity attained its highest level, value, or prominence during a specified decade.
-
B.
wasMostPopularInDecade
chosen
Indicates that something held the highest level of popularity among comparable items during a specified decade.
-
C.
contributedToPopularityInDecade
Indicates that something played a role in increasing the popularity of another thing during a specific decade.
-
D.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence during a specified decade.
-
E.
peakedWithinTopTenOn
Indicates that something (such as a work, product, or performance) reached a highest ranking position within the top ten on a specified chart, list, or ranking system.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.