Triple
T29452394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youth Day in China |
E747007
|
entity |
| Predicate | timeOff |
P180246
|
FINISHED |
| Object | half-day off for youth over 14 in many workplaces and schools |
—
|
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: half-day off for youth over 14 in many workplaces and schools | Statement: [Youth Day in China, timeOff, half-day off for youth over 14 in many workplaces and schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOff Context triple: [Youth Day in China, timeOff, half-day off for youth over 14 in many workplaces and schools]
-
A.
timeSlotOfWorks
Indicates the specific time period or interval during which the works (e.g., tasks, events, or activities) are scheduled or take place.
-
B.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
C.
mealPeriod
Indicates the time-of-day category (such as breakfast, lunch, or dinner) during which a meal or food-related event occurs.
-
D.
timeStatus
Indicates the temporal state or condition of an event or entity relative to a reference time (e.g., past, present, future, ongoing, or scheduled).
-
E.
timeTabledBy
Indicates that an event or activity has been scheduled or placed on a timetable by a particular agent or organizing entity.
- F. None of above. chosen
Provenance (4 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 28, 2026, 3:33 p.m.