Triple
T3229148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barotse Floodplain |
E67694
|
entity |
| Predicate | peakFloodMonths |
P11688
|
FINISHED |
| Object | around March and April |
—
|
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: around March and April | Statement: [Barotse Floodplain, peakFloodMonths, around March and April]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakFloodMonths Context triple: [Barotse Floodplain, peakFloodMonths, around March and April]
-
A.
seasonalFlow
Indicates that the flow or intensity of something varies in a recurring pattern according to the seasons.
-
B.
rainfallPeak
Indicates the time or value at which rainfall intensity reaches its maximum during a given period or event.
-
C.
hasSeasonalFlooding
Indicates that an area regularly experiences flooding during specific, recurring times of the year.
-
D.
floodSeasonCause
Indicates the cause or contributing factor responsible for a particular flood season occurring.
-
E.
typicalMonthOfOccurrence
chosen
Indicates the month in which something most commonly or typically occurs.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb826588190a93bcfb1242310e7 |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.