Triple
T25237201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cboe Volatility Index |
E632369
|
entity |
| Predicate | highValueIndicates |
P11408
|
FINISHED |
| Object | high expected volatility |
—
|
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: high expected volatility | Statement: [Cboe Volatility Index, highValueIndicates, high expected volatility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highValueIndicates Context triple: [Cboe Volatility Index, highValueIndicates, high expected volatility]
-
A.
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.
-
B.
hasHigh
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
C.
highDenomination
Indicates that something has a relatively large or high face value compared to other items in the same category (e.g., currency, stamps, or tokens).
-
D.
hasHighPropertyValues
Indicates that the associated entity possesses property values that are above a defined or typical threshold.
-
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_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 1:07 p.m.