Triple

T29730371
Position Surface form Disambiguated ID Type / Status
Subject Qilu Lake E752302 entity
Predicate hasIrrigationUse P155364 FINISHED
Object yes 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: yes | Statement: [Qilu Lake, hasIrrigationUse, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIrrigationUse
Context triple: [Qilu Lake, hasIrrigationUse, yes]
  • A. hasIrrigation
    Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
  • B. usedIrrigation
    Indicates that an entity applied or employed an irrigation system or method to supply water to land or crops.
  • C. usedForIrrigationIn chosen
    Indicates that something serves as a means or resource for irrigating land or crops in a specified location or context.
  • D. hasIrrigationDependence
    Indicates that one entity relies on another entity or system to provide irrigation for its water needs.
  • E. hasIrrigationArea
    Indicates that an entity possesses or is associated with a specific area of land equipped or designated for irrigation.
  • 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_69f0d62a36a88190bf860f00da433ff8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f6732fff7c81908326c2deaffcdf86 completed May 2, 2026, 9:57 p.m.
PD Predicate disambiguation batch_69f66ac1a4fc81909740d2e52fbe6970 completed May 2, 2026, 9:21 p.m.
Created at: April 28, 2026, 7:41 p.m.