Triple
T8150748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSE Composite Index |
E190325
|
entity |
| Predicate | tradingHoursExchange |
P2917
|
FINISHED |
| Object | Shanghai Stock Exchange 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: Shanghai Stock Exchange trading hours | Statement: [SSE Composite Index, tradingHoursExchange, Shanghai Stock Exchange trading hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradingHoursExchange Context triple: [SSE Composite Index, tradingHoursExchange, Shanghai Stock Exchange 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.
hasTradingHours
chosen
Indicates that an entity operates or is available for trading during specified time periods.
-
D.
stockExchangeStatus
Indicates the operational or trading condition of a stock exchange at a given time (e.g., open, closed, halted).
-
E.
hasTradingSession
Indicates that an entity participates in or is associated with a specific trading session or period during which trading activities occur.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4481f19c8190aeec9bf029ad321b |
completed | March 31, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:37 p.m.