Triple
T6520713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerepakupai Merú |
E148372
|
entity |
| Predicate | averageFlowType |
P36918
|
FINISHED |
| Object | seasonal variation |
—
|
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: seasonal variation | Statement: [Kerepakupai Merú, averageFlowType, seasonal variation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageFlowType Context triple: [Kerepakupai Merú, averageFlowType, seasonal variation]
-
A.
flowType
Indicates the kind or category of flow (such as direction, pattern, or mode of movement/transfer) that characterizes the relationship between entities.
-
B.
flowVariation
chosen
Indicates how the rate or pattern of flow (such as water, traffic, or data) changes over time or across different conditions.
-
C.
flowsGenerallyDirection
Indicates that something typically moves or progresses in a particular overall direction, without requiring an exact or constant path.
-
D.
flowsMostly
Indicates that one entity predominantly flows or moves in the direction of, or through, another entity, more so than in other directions or paths.
-
E.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9431f081909b14b3df3414a55f |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:45 p.m.