Triple

T24560494
Position Surface form Disambiguated ID Type / Status
Subject Rogun Dam E607636 entity
Predicate languageNameTajik P54622 FINISHED
Object Нерӯгоҳи барқи обии Роғун
Нерӯгоҳи барқи обии Роғун як нерӯгоҳи бузурги барқи обӣ дар Тоҷикистон аст, ки бо сохтмони сарбанди азимаш ҳамчун яке аз муҳимтарин лоиҳаҳои энергетикии кишвар шинохта мешавад.
 E1640420 NE FINISHED

How this triple was built (3 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: Нерӯгоҳи барқи обии Роғун | Statement: [Rogun Dam, languageNameTajik, Нерӯгоҳи барқи обии Роғун]
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: Нерӯгоҳи барқи обии Роғун
Triple: [Rogun Dam, languageNameTajik, Нерӯгоҳи барқи обии Роғун]
Generated description
Нерӯгоҳи барқи обии Роғун як нерӯгоҳи бузурги барқи обӣ дар Тоҷикистон аст, ки бо сохтмони сарбанди азимаш ҳамчун яке аз муҳимтарин лоиҳаҳои энергетикии кишвар шинохта мешавад.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: languageNameTajik
Context triple: [Rogun Dam, languageNameTajik, Нерӯгоҳи барқи обии Роғун]
  • A. languageName_Uzbek
    Indicates that the associated entity has Uzbek as its language name.
  • B. nameInTajik chosen
    Indicates that an entity’s name is expressed in the Tajik language.
  • C. languageNameDari
    Indicates that the specified language has the name "Dari" in the given context.
  • D. nameInUzbek
    Indicates that an entity’s name is expressed in the Uzbek language.
  • E. languageNameTurkish
    Indicates that the associated language’s name is given in Turkish.
  • F. None of above.

Provenance (6 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_69e2c4cc35a48190990b7571bc086df8 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a8f57a7c8190a0eb8d6d6ef6ae61 completed April 30, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff8670b94819094c7c2de869b23ae completed May 22, 2026, 6:32 a.m.
NEDg Description generation batch_6a0ff956f6e48190950c5bace85c9669 completed May 22, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffa00b57081909bc69474734fcb20 completed May 22, 2026, 6:38 a.m.
PD Predicate disambiguation batch_69f2a6b99e7c8190ba7e2dc8729a314a completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:28 a.m.