Triple
T25237203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cboe Volatility Index |
E632369
|
entity |
| Predicate | highValueAssociatedWith |
P11408
|
FINISHED |
| Object | investor fear |
—
|
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: investor fear | Statement: [Cboe Volatility Index, highValueAssociatedWith, investor fear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highValueAssociatedWith Context triple: [Cboe Volatility Index, highValueAssociatedWith, investor fear]
-
A.
higherAspectAssociatedWith
Indicates that one aspect or level of something is linked or connected to a corresponding higher-level aspect.
-
B.
higherValueIndicates
chosen
Indicates that a greater numerical or qualitative value of one entity corresponds to a stronger presence, importance, or intensity of a specified property or outcome relative to another.
-
C.
hasHigh
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
D.
highReCharacteristic
Indicates that an entity exhibits a high Reynolds number characteristic, typically implying flow dominated by inertial rather than viscous forces.
-
E.
hasHighPerUnitValueAgainst
Indicates that one entity yields a relatively high value or benefit per unit when used against or applied to 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47dfb2c9c8190b34148512dd535c8 |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:07 p.m.