Triple
T7312286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiwan Stock Exchange |
E168120
|
entity |
| Predicate | openingHoursLocalTime |
P10068
|
FINISHED |
| Object | 09:00–13:30 (regular session, typical) |
—
|
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: 09:00–13:30 (regular session, typical) | Statement: [Taiwan Stock Exchange, openingHoursLocalTime, 09:00–13:30 (regular session, typical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingHoursLocalTime Context triple: [Taiwan Stock Exchange, openingHoursLocalTime, 09:00–13:30 (regular session, typical)]
-
A.
openingHoursCharacteristic
Indicates a relationship that specifies particular attributes or features of an entity’s opening hours, such as patterns, exceptions, or special conditions.
-
B.
openingTime
Indicates the time at which a place, service, or event begins operating or becomes accessible.
-
C.
typicalBusinessHourStartLocalTime
Indicates the local time at which a business’s normal operating hours typically begin.
-
D.
hoursOfOperation
chosen
Indicates the time periods during which a place or service is open and available for use.
-
E.
localTime
Indicates that a specific time value is expressed relative to a particular local time zone or locale, rather than in a universal or standardized time reference.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ec00fef081909cb9768a70cabd80 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:02 p.m.