Triple
T29440845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sohra |
E746705
|
entity |
| Predicate | peakRainfallPeriod |
P108895
|
FINISHED |
| Object | June and July |
—
|
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: June and July | Statement: [Sohra, peakRainfallPeriod, June and July]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakRainfallPeriod Context triple: [Sohra, peakRainfallPeriod, June and July]
-
A.
rainfallPeak
Indicates the time or value at which rainfall intensity reaches its maximum during a given period or event.
-
B.
primaryRainySeasonFor
Indicates that one entity is the main or most significant rainy season associated with a particular place or region.
-
C.
stormPeriodicity
Indicates the regularity or recurrence pattern with which storms occur over time.
-
D.
peakSeasonMonth
chosen
Indicates the month or months during which something (such as demand, activity, or occurrence) reaches its highest or most intense level.
-
E.
typicalPrecipitationPattern
Indicates the usual or characteristic pattern of precipitation associated with a place, time period, or climate condition.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b1c118881908d2cbbf894a0a1ce |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:22 p.m.