Triple
T32384741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chunjie |
E827516
|
entity |
| Predicate | durationInMainlandChina |
P172309
|
FINISHED |
| Object | about 7 days of official holiday |
—
|
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: about 7 days of official holiday | Statement: [Chunjie, durationInMainlandChina, about 7 days of official holiday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationInMainlandChina Context triple: [Chunjie, durationInMainlandChina, about 7 days of official holiday]
-
A.
lengthInChina
Indicates that the specified length or distance is measured according to standards, units, or conditions applicable within China.
-
B.
releaseDateChina
Indicates the date on which something (such as a product, work, or media) is officially released or made available in China.
-
C.
arrivedInMainlandChina
Indicates that an entity has reached and entered the territory of mainland China from elsewhere.
-
D.
hasMainlandLengthApproxKm
Indicates the approximate length of an entity’s mainland portion, measured in kilometers.
-
E.
durationDaysApprox
chosen
Indicates an approximate length of time, measured in days, for which an event, state, or condition lasts.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1cf2aa081909f4c0b8f0cad1907 |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:51 a.m.