Triple
T5653770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Poets |
E124566
|
entity |
| Predicate | timePeriodPeak |
P302
|
FINISHED |
| Object | early 19th century |
—
|
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: early 19th century | Statement: [Lake Poets, timePeriodPeak, early 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodPeak Context triple: [Lake Poets, timePeriodPeak, early 19th century]
-
A.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
B.
peakHours
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
-
C.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
D.
usagePeak
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
-
E.
peakDay
Indicates the specific day on which a quantity, activity, or effect reaches its maximum level within a given period.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022f7efec8190946c925130176d5a |
completed | March 22, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69c01b2274b48190b2ef57ed728f785c |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.