Triple

T243777
Position Surface form Disambiguated ID Type / Status
Subject central limit theorem E4991 entity
Predicate alsoKnownAs P39 FINISHED
Object CLT
CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
 E31545 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: CLT | Statement: [central limit theorem, alsoKnownAs, CLT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CLT
Context triple: [central limit theorem, alsoKnownAs, CLT]
  • A. CLIC
    CLIC is a proposed high-energy electron–positron linear collider at CERN designed to explore physics beyond the Standard Model with multi-TeV collisions.
  • B. CIT
    CIT is the commonly used acronym for the Center for Information Technology, an organization focused on advancing computing and information systems.
  • C. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • D. CLP
    CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
  • E. CUL
    CUL is the main research library of the University of Cambridge and one of the largest and most important academic libraries in the United Kingdom.
  • 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: CLT
Triple: [central limit theorem, alsoKnownAs, CLT]
Generated description
CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CLT
Target entity description: CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
  • A. CLIC
    CLIC is a proposed high-energy electron–positron linear collider at CERN designed to explore physics beyond the Standard Model with multi-TeV collisions.
  • B. CIT
    CIT is the commonly used acronym for the Center for Information Technology, an organization focused on advancing computing and information systems.
  • C. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • D. CLP
    CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
  • E. CUL
    CUL is the main research library of the University of Cambridge and one of the largest and most important academic libraries in the United Kingdom.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25cef84ac81908fcc175b7f89653b completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf2e84c81908d87847d498f96f4 completed Feb. 28, 2026, 10:32 p.m.
NEDg Description generation batch_69a36d68858c81908cc2d2dc94b1a482 completed Feb. 28, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69a36dbb7dc88190a75f2c0bbb478ccc completed Feb. 28, 2026, 10:35 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.