Triple
T24270129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Low Volatility Index |
E605253
|
entity |
| Predicate | factorExposure |
P99309
|
FINISHED |
| Object | low volatility factor |
—
|
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: low volatility factor | Statement: [S&P 500 Low Volatility Index, factorExposure, low volatility factor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: factorExposure Context triple: [S&P 500 Low Volatility Index, factorExposure, low volatility factor]
-
A.
factor
Indicates that one entity is a contributing cause, influence, or component affecting the state, outcome, or existence of another entity.
-
B.
exposureLevel
chosen
Indicates the degree or intensity to which an entity is subjected or exposed to a particular factor, condition, or influence.
-
C.
nestExposure
Indicates that one entity is subjected to or experiences exposure related to a nest, such as environmental, observational, or risk-related contact with it.
-
D.
exposureType
Indicates the specific manner or context in which one entity is exposed to another entity, condition, or influence.
-
E.
exposes
Indicates making something visible, known, or vulnerable by removing cover, concealment, or protection.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d58666881909f28f4d4f0f7d590 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.