Triple

T35798360
Position Surface form Disambiguated ID Type / Status
Subject CLP Power Hong Kong E1034896 entity
Predicate suppliesFrom P138584 FINISHED
Object Castle Peak Power Station
Castle Peak Power Station is one of Hong Kong’s largest coal-fired power plants, providing a major share of the city’s electricity supply.
 E2157333 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: Castle Peak Power Station | Statement: [CLP Power Hong Kong, suppliesFrom, Castle Peak Power Station]
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: Castle Peak Power Station
Triple: [CLP Power Hong Kong, suppliesFrom, Castle Peak Power Station]
Generated description
Castle Peak Power Station is one of Hong Kong’s largest coal-fired power plants, providing a major share of the city’s electricity supply.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: suppliesFrom
Context triple: [CLP Power Hong Kong, suppliesFrom, Castle Peak Power Station]
  • A. suppliesTo
    Indicates that one entity provides or delivers goods, services, or resources to another entity.
  • B. suppliesViaBranches
    Indicates that one entity provides goods or services to another entity through its branch locations or subsidiary outlets.
  • C. suppliesIndustry
    Indicates that one entity provides goods, services, or resources to support the operations or needs of an industry or industrial sector.
  • D. supplyBy chosen
    Indicates that one entity is provided, furnished, or made available by another entity as its source or supplier.
  • E. suppliesCity
    Indicates that one entity provides goods, resources, or services to a city.
  • 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_69f76e169bd081909f16cd8c9ee7870c completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a389167e7908190b20c8161c8554d0a completed June 22, 2026, 1:35 a.m.
NEDg Description generation batch_6a3895750be0819099633a20746e577e completed June 22, 2026, 1:52 a.m.
NED2 Entity disambiguation (via description) batch_6a3895e484688190a901e0e3232ecf26 completed June 22, 2026, 1:54 a.m.
PD Predicate disambiguation batch_69f7a8d219f8819081dc4ce3c83ca0cb completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.