Triple
T9689318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabibbo–Kobayashi–Maskawa matrix |
E234496
|
entity |
| Predicate | hasApproximateMagnitudePattern |
P43785
|
FINISHED |
| Object | |V_ud|, |V_cs|, |V_tb| close to 1 |
—
|
LITERAL FINISHED |
How this triple was built (2 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_ud|, |V_cs|, |V_tb| close to 1 | Statement: [Cabibbo–Kobayashi–Maskawa matrix, hasApproximateMagnitudePattern, |V_ud|, |V_cs|, |V_tb| close to 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateMagnitudePattern Context triple: [Cabibbo–Kobayashi–Maskawa matrix, hasApproximateMagnitudePattern, |V_ud|, |V_cs|, |V_tb| close to 1]
-
A.
hasMagnitudeProperty
chosen
Indicates that an entity is associated with a quantitative magnitude-related property, such as size, intensity, or amount.
-
B.
hasApproximateValue
Indicates that one entity’s value is close to, but not exactly equal to, the value of another entity within an acceptable margin of error.
-
C.
holdsApproximatelyFor
Indicates that a condition, relation, or value is valid only to an approximate degree or within a tolerance, rather than holding exactly.
-
D.
hasApproximateDistanceScale
Indicates that one entity is related to another by a distance measure that is approximate or estimated rather than exact.
-
E.
hasApproximateShape
Indicates that one entity has a shape that is similar to, but not exactly the same as, the shape of another entity.
- F. None of above.
Provenance (3 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_69cd9d02b20881909d7c0d5d6aaafcb0 |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.