Triple
T25237128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cboe Options Exchange |
E632367
|
entity |
| Predicate | hasNotableIndexProductFamily |
P176254
|
FINISHED |
| Object | Cboe Volatility Index (VIX) options |
—
|
NE NERFINISHED |
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: Cboe Volatility Index (VIX) options | Statement: [Cboe Options Exchange, hasNotableIndexProductFamily, Cboe Volatility Index (VIX) options]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableIndexProductFamily Context triple: [Cboe Options Exchange, hasNotableIndexProductFamily, Cboe Volatility Index (VIX) options]
-
A.
hasNotableCardFamily
Indicates that an entity is associated with a specific, distinguished group or family of related cards.
-
B.
hasNotableBearerFamily
Indicates that a family is recognized for having at least one notable or distinguished member associated with it.
-
C.
hasNotableSubBrand
Indicates that an entity includes or owns a distinct, well-known sub-brand associated with it.
-
D.
hasVariantFamily
Indicates that one entity is related to another as a different version, type, or family variant of it.
-
E.
hasRepresentativeFamily
Indicates that an entity is associated with a particular family that serves as its representative or characteristic example.
- F. None of above. chosen
Provenance (4 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_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 21, 2026, 1:07 p.m.