Triple
T9689295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabibbo–Kobayashi–Maskawa matrix |
E234496
|
entity |
| Predicate | hasElement |
P3097
|
FINISHED |
| Object |
V_ts
V_ts is an element of the Cabibbo–Kobayashi–Maskawa (CKM) quark mixing matrix that quantifies the weak-interaction coupling between top and strange quarks in the Standard Model of particle physics.
|
E815593
|
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_ts | Statement: [Cabibbo–Kobayashi–Maskawa matrix, hasElement, V_ts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: V_ts Context triple: [Cabibbo–Kobayashi–Maskawa matrix, hasElement, V_ts]
-
A.
VTST
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
-
B.
VSI
VSI is the commonly used abbreviation for the "Very Short Introductions" series of concise, authoritative books published by Oxford University Press on a wide range of subjects.
-
C.
VS
VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
-
D.
TSV
TSV is the IATA airport code for Townsville Airport, a regional and military aviation hub in Townsville, Queensland, Australia.
-
E.
VES
VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
- 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_ts Triple: [Cabibbo–Kobayashi–Maskawa matrix, hasElement, V_ts]
Generated description
V_ts is an element of the Cabibbo–Kobayashi–Maskawa (CKM) quark mixing matrix that quantifies the weak-interaction coupling between top and strange quarks in the Standard Model of particle physics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: V_ts Target entity description: V_ts is an element of the Cabibbo–Kobayashi–Maskawa (CKM) quark mixing matrix that quantifies the weak-interaction coupling between top and strange quarks in the Standard Model of particle physics.
-
A.
VTST
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
-
B.
VSI
VSI is the commonly used abbreviation for the "Very Short Introductions" series of concise, authoritative books published by Oxford University Press on a wide range of subjects.
-
C.
VS
VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
-
D.
TSV
TSV is the IATA airport code for Townsville Airport, a regional and military aviation hub in Townsville, Queensland, Australia.
-
E.
VES
VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
- 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.