Triple

T7014252
Position Surface form Disambiguated ID Type / Status
Subject Cihu Lake E162659 entity
Predicate near P350 FINISHED
Object Shimen Reservoir E162660 NE 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: Shimen Reservoir | Statement: [Cihu Lake, near, Shimen Reservoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shimen Reservoir
Context triple: [Cihu Lake, near, Shimen Reservoir]
  • A. Shimen Reservoir chosen
    Shimen Reservoir is a major multipurpose reservoir in Taoyuan, Taiwan, known for water supply, flood control, irrigation, and recreation.
  • B. Tominé Reservoir
    Tominé Reservoir is a large artificial lake in Colombia’s Cundinamarca department, known for supplying water to Bogotá and serving as a popular site for sailing and other water sports.
  • C. Shiroro Dam
    Shiroro Dam is a major hydroelectric power facility on the Kaduna River in Niger State, Nigeria, supplying electricity and supporting water management in the region.
  • D. Lodoyo Dam
    Lodoyo Dam is a water control and irrigation structure located on the Brantas River in East Java, Indonesia.
  • E. Shaori Reservoir
    Shaori Reservoir is a scenic artificial lake in Georgia’s Racha region, known for its mountainous surroundings and popularity as a recreational and tourist destination.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d31edc8190931655616d0739d1 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a53e96081909dfe21a80b20f80d completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.