Triple

T22301802
Position Surface form Disambiguated ID Type / Status
Subject Saguling E551274 entity
Predicate knownFor P22 FINISHED
Object Saguling Reservoir 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: Saguling Reservoir | Statement: [Saguling, knownFor, Saguling Reservoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saguling Reservoir
Context triple: [Saguling, knownFor, Saguling Reservoir]
  • A. Saguling Reservoir chosen
    Saguling Reservoir is a major artificial lake in West Java, Indonesia, created for hydroelectric power generation, water supply, and flood control.
  • B. Tri An Reservoir
    Tri An Reservoir is a large artificial lake in southern Vietnam, primarily used for hydroelectric power generation, water supply, and flood control.
  • C. Samanalawewa Reservoir
    Samanalawewa Reservoir is a man-made lake in Sri Lanka known for its role in hydroelectric power generation and irrigation within the Sabaragamuwa Province.
  • D. Pantabangan Reservoir
    Pantabangan Reservoir is a major man-made lake in Nueva Ecija, Philippines, primarily used for irrigation, hydroelectric power generation, and flood control.
  • E. Malpaso Reservoir
    Malpaso Reservoir is a large artificial lake in Chiapas, Mexico, created for hydroelectric power generation and water management.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157245ee481909a7a3397de3ae355 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.