Triple
T1609535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan Standard Time |
E34584
|
entity |
| Predicate | typicalBusinessHoursStart |
P7784
|
FINISHED |
| Object | 09:00 PKT |
—
|
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 PKT | Statement: [Pakistan Standard Time, typicalBusinessHoursStart, 09:00 PKT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBusinessHoursStart Context triple: [Pakistan Standard Time, typicalBusinessHoursStart, 09:00 PKT]
-
A.
typicalBusinessHourStartLocalTime
chosen
Indicates the local time at which a business’s normal operating hours typically begin.
-
B.
hoursOfOperation
Indicates the time periods during which a place or service is open and available for use.
-
C.
officeStartAfter
Indicates that one entity’s term or period in office begins after another specified time or event.
-
D.
typicalEndHourLocal
Indicates the usual local-time clock hour at which an activity, event, or operation typically ends.
-
E.
officeStart
Indicates the time or date at which an entity’s term, role, or period of holding office begins.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.