Triple
T24270863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Enhanced Value Index |
E605271
|
entity |
| Predicate | selectionFactor |
P26112
|
FINISHED |
| Object | earnings-to-price |
—
|
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: earnings-to-price | Statement: [S&P 500 Enhanced Value Index, selectionFactor, earnings-to-price]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionFactor Context triple: [S&P 500 Enhanced Value Index, selectionFactor, earnings-to-price]
-
A.
selectionCharacteristic
Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
-
B.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
-
C.
selectionMetric
chosen
Indicates the criterion or measure used to evaluate and choose among alternative options or candidates.
-
D.
considersFactor
Indicates that one entity takes another entity into account as a factor when forming a judgment, decision, or evaluation.
-
E.
selectionReason
Indicates the reason or justification for choosing or selecting one entity over alternatives.
- 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.