Triple
T16170690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennis |
E392425
|
entity |
| Predicate | peakUsagePeriodInUnitedStates |
P34607
|
FINISHED |
| Object | 1940s |
—
|
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: 1940s | Statement: [Dennis, peakUsagePeriodInUnitedStates, 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakUsagePeriodInUnitedStates Context triple: [Dennis, peakUsagePeriodInUnitedStates, 1940s]
-
A.
usagePeak
chosen
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
-
B.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
C.
activityPeakPeriod
Indicates the time period during which an activity reaches its highest level or intensity.
-
D.
peakHours
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb6de30819083af54b50ae5ae51 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.