Triple
T24270841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Quality Index |
E605270
|
entity |
| Predicate | rebalancingPolicy |
P24422
|
FINISHED |
| Object | periodic rebalancing |
—
|
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: periodic rebalancing | Statement: [S&P 500 Quality Index, rebalancingPolicy, periodic rebalancing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rebalancingPolicy Context triple: [S&P 500 Quality Index, rebalancingPolicy, periodic rebalancing]
-
A.
hasRebalancing
chosen
Indicates that an entity undergoes or is subject to an adjustment process to restore a desired balance or allocation among its components or related elements.
-
B.
stabilityPolicy
Indicates that a policy defines or influences the conditions under which a system, process, or arrangement remains stable over time.
-
C.
requiresBalancing
Indicates that one entity or action depends on being offset, equalized, or counteracted by another to maintain a required equilibrium or fairness.
-
D.
typicalLeveragePolicy
Indicates the usual or standard way leverage is employed or managed within a given financial or organizational context.
-
E.
trackingPolicy
Indicates a relationship where one party defines or applies rules governing how another party’s activities, data, or movements are monitored and recorded.
- 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_69f28d59e0808190a1048e4e2e5689f3 |
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.