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.