Triple
T31943840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V_ts |
E815593
|
entity |
| Predicate | cannotBeMeasuredAtTreeLevelInTopDecay |
P76537
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [V_ts, cannotBeMeasuredAtTreeLevelInTopDecay, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotBeMeasuredAtTreeLevelInTopDecay Context triple: [V_ts, cannotBeMeasuredAtTreeLevelInTopDecay, true]
-
A.
hasBranchingRatioToLeptons
Indicates the proportion of a particle’s decays that result in leptons among all its possible decay channels.
-
B.
hasBranchingRatioToHadrons
Indicates the fraction of a particle’s decays that result in hadronic final states (i.e., decays into hadrons).
-
C.
decayWidth
Indicates the total probability per unit time (or corresponding energy measure) that an unstable particle will decay via all possible channels.
-
D.
isNotDirectlyMeasurableWith
chosen
Indicates that one quantity cannot be obtained through a straightforward, direct measurement using the specified instrument, method, or unit, and must instead be inferred or derived indirectly.
-
E.
isRenormalizationSchemeIndependentAtTreeLevel
Indicates that the quantity or relation does not depend on the choice of renormalization scheme when evaluated at tree level (i.e., before loop corrections).
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:06 a.m.