Triple

T9689292
Position Surface form Disambiguated ID Type / Status
Subject Cabibbo–Kobayashi–Maskawa matrix E234496 entity
Predicate hasElement P3097 FINISHED
Object V_cs
V_cs is the element of the Cabibbo–Kobayashi–Maskawa (CKM) quark-mixing matrix that quantifies the weak-interaction coupling between charm and strange quarks.
E815590 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_cs | Statement: [Cabibbo–Kobayashi–Maskawa matrix, hasElement, V_cs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: V_cs
Context triple: [Cabibbo–Kobayashi–Maskawa matrix, hasElement, V_cs]
  • A. VCK
    VCK is a Tamil Nadu–based political party in India known for its advocacy of Dalit rights and social justice.
  • B. VCC
    VCC is the commonly used abbreviation for the Vieux Carré Commission, the historic preservation agency responsible for protecting the French Quarter in New Orleans.
  • C. ВВС
    ВВС — это российский музыкальный коллектив, известный своими экспериментальными и альтернативными рок-композициями.
  • D. VC2
    VC2 is the U.S. Maritime Commission’s standard hull designation for the World War II–era Victory-class cargo ships.
  • E. .vc
    .vc is the country code top-level domain (ccTLD) assigned to Saint Vincent and the Grenadines, often also used creatively for various commercial and personal websites.
  • 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_cs
Triple: [Cabibbo–Kobayashi–Maskawa matrix, hasElement, V_cs]
Generated description
V_cs is the element of the Cabibbo–Kobayashi–Maskawa (CKM) quark-mixing matrix that quantifies the weak-interaction coupling between charm and strange quarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: V_cs
Target entity description: V_cs is the element of the Cabibbo–Kobayashi–Maskawa (CKM) quark-mixing matrix that quantifies the weak-interaction coupling between charm and strange quarks.
  • A. VCK
    VCK is a Tamil Nadu–based political party in India known for its advocacy of Dalit rights and social justice.
  • B. VCC
    VCC is the commonly used abbreviation for the Vieux Carré Commission, the historic preservation agency responsible for protecting the French Quarter in New Orleans.
  • C. ВВС
    ВВС — это российский музыкальный коллектив, известный своими экспериментальными и альтернативными рок-композициями.
  • D. VC2
    VC2 is the U.S. Maritime Commission’s standard hull designation for the World War II–era Victory-class cargo ships.
  • E. .vc
    .vc is the country code top-level domain (ccTLD) assigned to Saint Vincent and the Grenadines, often also used creatively for various commercial and personal websites.
  • 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.