Triple
T24270532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Health Care Index |
E605263
|
entity |
| Predicate | exchangeHoursReference |
P43569
|
FINISHED |
| Object | NYSE trading hours |
—
|
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: NYSE trading hours | Statement: [S&P 500 Health Care Index, exchangeHoursReference, NYSE trading hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exchangeHoursReference Context triple: [S&P 500 Health Care Index, exchangeHoursReference, NYSE trading hours]
-
A.
tradingHoursType
Indicates the classification of an entity’s trading hours, such as whether they are regular, extended, holiday-specific, or of another defined type.
-
B.
tradingHoursTimezone
Indicates the time zone in which an entity’s trading hours are defined and observed.
-
C.
relatedTimeStandard
chosen
Indicates that one time-related entity is defined, interpreted, or aligned according to a particular time standard or reference timescale.
-
D.
hasTradingHours
Indicates that an entity operates or is available for trading during specified time periods.
-
E.
typicalTradingHoursLocalTime
Indicates the usual daily time range during which trading activity occurs, expressed in the local time of the relevant market or venue.
- 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.