Triple

T12163939
Position Surface form Disambiguated ID Type / Status
Subject Karuma Hydropower Station E289780 entity
Predicate mainContractor P7138 FINISHED
Object Sinohydro
Sinohydro is a major Chinese state-owned engineering and construction company best known for building large-scale hydropower and infrastructure projects worldwide.
 E966574 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: Sinohydro | Statement: [Karuma Hydropower Station, mainContractor, Sinohydro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sinohydro
Context triple: [Karuma Hydropower Station, mainContractor, Sinohydro]
  • A. Erui
    Erui is a minor river in J.R.R. Tolkien’s Middle-earth that flows through Gondor as a tributary of the Anduin.
  • B. Tsinan
    Tsinan is an older romanized name for Jinan, the capital city of Shandong Province in eastern China known for its numerous natural springs.
  • C. Shandao
    Shandao was a prominent 7th-century Chinese Buddhist monk and commentator whose writings systematized and greatly influenced the development of Pure Land Buddhism.
  • D. Xiantong
    Xiantong was the reign era name used by Emperor Xizong during a late period of the Tang dynasty in China.
  • E. Hengchi
    Hengchi is an electric vehicle brand developed by the Chinese conglomerate Evergrande Group as part of its push into the new energy automotive industry.
  • 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: Sinohydro
Triple: [Karuma Hydropower Station, mainContractor, Sinohydro]
Generated description
Sinohydro is a major Chinese state-owned engineering and construction company best known for building large-scale hydropower and infrastructure projects worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sinohydro
Target entity description: Sinohydro is a major Chinese state-owned engineering and construction company best known for building large-scale hydropower and infrastructure projects worldwide.
  • A. Erui
    Erui is a minor river in J.R.R. Tolkien’s Middle-earth that flows through Gondor as a tributary of the Anduin.
  • B. Tsinan
    Tsinan is an older romanized name for Jinan, the capital city of Shandong Province in eastern China known for its numerous natural springs.
  • C. Shandao
    Shandao was a prominent 7th-century Chinese Buddhist monk and commentator whose writings systematized and greatly influenced the development of Pure Land Buddhism.
  • D. Xiantong
    Xiantong was the reign era name used by Emperor Xizong during a late period of the Tang dynasty in China.
  • E. Hengchi
    Hengchi is an electric vehicle brand developed by the Chinese conglomerate Evergrande Group as part of its push into the new energy automotive industry.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c498a081908389598d0c247505 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a2716081909620a9d11cfcc2d8 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6017f89d88190b766af7828794d87 completed May 2, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_69f60232d89881909f254da6deb7f321 completed May 2, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:50 p.m.