Triple

T9876173
Position Surface form Disambiguated ID Type / Status
Subject Svratka E240077 entity
Predicate hasDam P8736 FINISHED
Object Vír Dam
Vír Dam is a major hydroelectric and flood-control reservoir on the Svratka River in the Czech Republic.
E828812 NE FINISHED

How this triple was built (4 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: Vír Dam | Statement: [Svratka, hasDam, Vír Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vír Dam
Context triple: [Svratka, hasDam, Vír Dam]
  • A. Gotvand Dam
    Gotvand Dam is a major rock-fill embankment dam in southwestern Iran, built on the Karun River for hydroelectric power generation, irrigation, and water regulation.
  • B. Jurala Dam
    Jurala Dam is a major irrigation and hydroelectric project built across the Krishna River in Telangana, India.
  • C. Edea Dam
    Edea Dam is a major hydroelectric power facility in Cameroon that harnesses the flow of the Sanaga River to generate electricity.
  • D. Daivões Dam
    Daivões Dam is a hydroelectric dam located on Portugal’s Tâmega River, forming part of the Tâmega electroproduction system.
  • E. Grishk Dam
    Grishk Dam is a hydroelectric and irrigation dam located on the Helmand River in southern Afghanistan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vír Dam
Triple: [Svratka, hasDam, Vír Dam]
Generated description
Vír Dam is a major hydroelectric and flood-control reservoir on the Svratka River in the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vír Dam
Target entity description: Vír Dam is a major hydroelectric and flood-control reservoir on the Svratka River in the Czech Republic.
  • A. Gotvand Dam
    Gotvand Dam is a major rock-fill embankment dam in southwestern Iran, built on the Karun River for hydroelectric power generation, irrigation, and water regulation.
  • B. Jurala Dam
    Jurala Dam is a major irrigation and hydroelectric project built across the Krishna River in Telangana, India.
  • C. Edea Dam
    Edea Dam is a major hydroelectric power facility in Cameroon that harnesses the flow of the Sanaga River to generate electricity.
  • D. Daivões Dam
    Daivões Dam is a hydroelectric dam located on Portugal’s Tâmega River, forming part of the Tâmega electroproduction system.
  • E. Grishk Dam
    Grishk Dam is a hydroelectric and irrigation dam located on the Helmand River in southern Afghanistan.
  • F. None of above. chosen

Provenance (5 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3fb58d481908407898912c4b4e9 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d6ec5a081908251e67b575c7c33 completed April 5, 2026, 7:21 a.m.
NEDg Description generation batch_69d20e9f480c819086b0165aa77ddb06 completed April 5, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69d20fa9cab88190bbddcf18b49f8172 completed April 5, 2026, 7:30 a.m.
Created at: March 30, 2026, 8:37 p.m.