Triple
T21334294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rima River |
E525997
|
entity |
| Predicate | lowFlowDuring |
P11757
|
FINISHED |
| Object | dry season |
—
|
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: dry season | Statement: [Rima River, lowFlowDuring, dry season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowFlowDuring Context triple: [Rima River, lowFlowDuring, dry season]
-
A.
typicalLowFlowSeason
chosen
Indicates the season during which a river or water body characteristically experiences its lowest flow levels.
-
B.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
C.
hasLowestFlowMonths
Indicates that the related months are those during which the flow (e.g., of water, traffic, or another quantity) reaches its minimum levels for the given entity or period.
-
D.
lowerBandWidth
Indicates that one entity has a smaller or more limited bandwidth capacity than another.
-
E.
lowEnergyLimit
Indicates a relationship where an entity is constrained by or subject to a minimum allowable energy level or threshold.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba7ce3c8190ba5ded980a9866f2 |
completed | April 26, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:43 p.m.