Triple
T26536585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaigai River basin |
E671266
|
entity |
| Predicate | collectsRainfallFrom |
P138393
|
FINISHED |
| Object | surrounding highlands |
—
|
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: surrounding highlands | Statement: [Vaigai River basin, collectsRainfallFrom, surrounding highlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectsRainfallFrom Context triple: [Vaigai River basin, collectsRainfallFrom, surrounding highlands]
-
A.
collectsRainfallFor
Indicates that one entity gathers or measures rainfall on behalf of, or for the benefit of, another entity.
-
B.
collectsSurfaceWaterFrom
chosen
Indicates that one entity gathers or receives surface water (such as runoff, streams, or overland flow) originating from another entity.
-
C.
rainfallLevel
Indicates the amount or intensity of rainfall occurring at a given place and time.
-
D.
rainfallReliability
Indicates how consistently and predictably rainfall occurs over time in a given area.
-
E.
rainfallPeak
Indicates the time or value at which rainfall intensity reaches its maximum during a given period or event.
- 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_69eeb3206e748190b90c85cc81f38c91 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 27, 2026, 1:39 a.m.