Triple

T9689289
Position Surface form Disambiguated ID Type / Status
Subject Cabibbo–Kobayashi–Maskawa matrix E234496 entity
Predicate hasElement P3097 FINISHED
Object V_us
V_us is the Cabibbo–Kobayashi–Maskawa (CKM) matrix element that quantifies the strength of quark flavor-changing transitions between up and strange quarks in the Standard Model of particle physics.
 E815589 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: V_us | Statement: [Cabibbo–Kobayashi–Maskawa matrix, hasElement, V_us]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: V_us
Context triple: [Cabibbo–Kobayashi–Maskawa matrix, hasElement, V_us]
  • A. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • B. VES
    VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
  • C. Vin
    Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
  • D. VS
    VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
  • E. VAN
    VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
  • 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: V_us
Triple: [Cabibbo–Kobayashi–Maskawa matrix, hasElement, V_us]
Generated description
V_us is the Cabibbo–Kobayashi–Maskawa (CKM) matrix element that quantifies the strength of quark flavor-changing transitions between up and strange quarks in the Standard Model of particle physics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: V_us
Target entity description: V_us is the Cabibbo–Kobayashi–Maskawa (CKM) matrix element that quantifies the strength of quark flavor-changing transitions between up and strange quarks in the Standard Model of particle physics.
  • A. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • B. VES
    VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
  • C. Vin
    Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
  • D. VS
    VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
  • E. VAN
    VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d019d40819095059a4d6167900a completed April 1, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1911427d48190855506ab61f8a2ce completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d193a5cdac8190b84564f397d00124 completed April 4, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69d19457c6488190a7bc72e1a27c088a completed April 4, 2026, 10:44 p.m.
Created at: March 30, 2026, 8:17 p.m.