Triple

T3726744
Position Surface form Disambiguated ID Type / Status
Subject Lake Naivasha E81767 entity
Predicate outflowType P8232 FINISHED
Object subsurface seepage 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: subsurface seepage | Statement: [Lake Naivasha, outflowType, subsurface seepage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: outflowType
Context triple: [Lake Naivasha, outflowType, subsurface seepage]
  • A. outflow
    Indicates the movement or discharge of something from an origin or source to the outside or to another location.
  • B. flowType chosen
    Indicates the kind or category of flow (such as direction, pattern, or mode of movement/transfer) that characterizes the relationship between entities.
  • C. flowsUnder
    Indicates that one entity (typically a river, stream, or liquid) passes beneath another entity (such as a bridge, structure, or obstacle) along its course.
  • D. flowsFrom
    Indicates that a substance, medium, or influence moves or originates from one entity or location and proceeds outward to another.
  • E. regulatesOutflowOf
    Indicates that one entity controls, modulates, or governs the rate or amount of outflow from another entity.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf7a6908190bd0c3bb5c55ab9ee completed March 8, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69adc0452f5081909c79e114a86cce8c completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.