Triple

T25066841
Position Surface form Disambiguated ID Type / Status
Subject Lake Abert E627803 entity
Predicate waterLevelControlledBy P130170 FINISHED
Object evaporation 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: evaporation | Statement: [Lake Abert, waterLevelControlledBy, evaporation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterLevelControlledBy
Context triple: [Lake Abert, waterLevelControlledBy, evaporation]
  • A. controlsWaterLevelOf chosen
    Indicates that one entity has the ability or authority to regulate or adjust the water level of another entity or system.
  • B. managesWaterFrom
    Indicates that one entity is responsible for controlling, directing, or handling water originating from another entity.
  • C. watercourseControlled
    Indicates that one entity exercises control, regulation, or management over a watercourse (such as a river, stream, or canal).
  • D. hasWaterControlRole
    Indicates that an entity holds a role or responsibility related to managing, regulating, or overseeing water resources or water systems.
  • E. hasNormalWaterLevel
    Indicates that an entity’s water level is within the expected or standard range, neither abnormally high nor low.
  • 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_69e2ff2d71dc8190b4758e57d643cbe4 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69f45cfb53f4819099bba48c5057e787 completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 6:10 a.m.