Triple

T19102233
Position Surface form Disambiguated ID Type / Status
Subject Indian national grid E467561 entity
Predicate regulator P46 FINISHED
Object CERC
CERC is India’s central electricity regulatory authority responsible for overseeing and regulating the country’s power sector and national grid operations.
 E1358505 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: CERC | Statement: [Indian national grid, regulator, CERC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CERC
Context triple: [Indian national grid, regulator, CERC]
  • A. CEC
    CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
  • B. CEC
    CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
  • C. CEC
    CEC is the commonly used abbreviation for the College of Engineering and Computing, an academic division focused on engineering and computing disciplines.
  • D. CEC
    CEC is the commonly used abbreviation for Taiwan’s Central Election Commission, the independent body responsible for administering and overseeing elections and referendums in the country.
  • E. CER
    CER is an abbreviation that commonly refers to Certified Emission Reductions, the carbon credits generated under the Kyoto Protocol’s Clean Development Mechanism.
  • 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: CERC
Triple: [Indian national grid, regulator, CERC]
Generated description
CERC is India’s central electricity regulatory authority responsible for overseeing and regulating the country’s power sector and national grid operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CERC
Target entity description: CERC is India’s central electricity regulatory authority responsible for overseeing and regulating the country’s power sector and national grid operations.
  • A. CEC
    CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
  • B. CEC
    CEC is the commonly used abbreviation for the College of Engineering and Computing, an academic division focused on engineering and computing disciplines.
  • C. CEC
    CEC is the commonly used abbreviation for Taiwan’s Central Election Commission, the independent body responsible for administering and overseeing elections and referendums in the country.
  • D. CEC
    CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
  • E. CER
    CER is an abbreviation that commonly refers to Certified Emission Reductions, the carbon credits generated under the Kyoto Protocol’s Clean Development Mechanism.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36e9bfc8190bbaccab169394d99 completed April 20, 2026, 8:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd9dae4c8190ae5950a27ac670cb completed May 14, 2026, 2:35 p.m.
NEDg Description generation batch_6a05e0a88664819083e3385c1cc5db34 completed May 14, 2026, 2:48 p.m.
NED2 Entity disambiguation (via description) batch_6a05e12912e4819089dfef296b0f8980 completed May 14, 2026, 2:50 p.m.
Created at: April 10, 2026, 12:04 p.m.