Triple
T1671694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Stock Exchange |
E36138
|
entity |
| Predicate | lunchBreakEndLocal |
P14959
|
FINISHED |
| Object | 13:00 |
—
|
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: 13:00 | Statement: [Shanghai Stock Exchange, lunchBreakEndLocal, 13:00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lunchBreakEndLocal Context triple: [Shanghai Stock Exchange, lunchBreakEndLocal, 13:00]
-
A.
endTimeLocal
Indicates the local date and time at which an event, activity, or state concludes.
-
B.
typicalEndHourLocal
chosen
Indicates the usual local-time clock hour at which an activity, event, or operation typically ends.
-
C.
typicalBusinessHourStartLocalTime
Indicates the local time at which a business’s normal operating hours typically begin.
-
D.
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.
-
E.
closingAuctionTimeLocal
Indicates the local-time moment at which an auction or bidding process is scheduled to end.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.