Triple

T35738273
Position Surface form Disambiguated ID Type / Status
Subject Kallanai Dam E1032955 entity
Predicate influencesCanalSystem P68777 FINISHED
Object Kaveri irrigation canals NE NERFINISHED

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: Kaveri irrigation canals | Statement: [Kallanai Dam, influencesCanalSystem, Kaveri irrigation canals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influencesCanalSystem
Context triple: [Kallanai Dam, influencesCanalSystem, Kaveri irrigation canals]
  • A. influenceOnRivers
    Indicates the effect or impact that one entity has on the state, behavior, or condition of rivers.
  • B. hasCanals chosen
    Indicates that one entity possesses or contains canals, either as physical waterways or channel-like structures.
  • C. hasRiverInfluence
    Indicates that one entity affects or is affected by a river in terms of its characteristics, behavior, or conditions.
  • D. hasIndustrialCanalFeatures
    Indicates that an entity possesses physical or structural characteristics associated with industrial canals, such as engineered waterways, locks, channels, or related infrastructure used for industrial purposes.
  • E. drainageInfluencedBy
    Indicates that the pattern, direction, or effectiveness of drainage is affected or controlled by another factor or 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_69f76e10e59081908d81ad9ce22f40b6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd4f39b5008190b83b3227ce22c509 completed May 8, 2026, 2:49 a.m.
PD Predicate disambiguation batch_69fd4df17c548190a4e2a6fea70f7e10 completed May 8, 2026, 2:44 a.m.
Created at: May 3, 2026, 4:05 p.m.