Triple

T23237920
Position Surface form Disambiguated ID Type / Status
Subject Mahaweli Ganga E581353 entity
Predicate hasDam P8736 FINISHED
Object Rantembe Dam 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: Rantembe Dam | Statement: [Mahaweli Ganga, hasDam, Rantembe Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rantembe Dam
Context triple: [Mahaweli Ganga, hasDam, Rantembe Dam]
  • A. Rantembe Dam chosen
    Rantembe Dam is a hydroelectric and irrigation dam in Sri Lanka that forms part of the Mahaweli River development scheme.
  • B. Binga Dam
    Binga Dam is a major hydroelectric dam in the Philippines that harnesses the flow of the Agno River for power generation and water management.
  • C. Bariri Dam
    Bariri Dam is a hydroelectric and river regulation structure located on Brazil’s Tietê River, contributing to regional power generation and water management.
  • D. Wyangala Dam
    Wyangala Dam is a major water storage and flood mitigation reservoir in New South Wales, Australia, serving irrigation, water supply, and recreational purposes.
  • E. Masinga Dam
    Masinga Dam is a major hydroelectric and water storage reservoir in Kenya that forms part of the Tana River hydropower cascade.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ea590c81908cd677d89f67d49f completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:09 p.m.