Triple
T9889315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qingming Festival |
E181414
|
entity |
| Predicate | solarTermRelation |
P91627
|
FINISHED |
| Object | coincides with the Qingming solar term |
—
|
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: coincides with the Qingming solar term | Statement: [Qingming Festival, solarTermRelation, coincides with the Qingming solar term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: solarTermRelation Context triple: [Qingming Festival, solarTermRelation, coincides with the Qingming solar term]
-
A.
solarTermInterval
Indicates the time span or interval associated with a specific solar term within a calendar or astronomical cycle.
-
B.
solarTermCount
Indicates the number of solar terms associated with or assigned to a given entity or context.
-
C.
zodiacRelation
Indicates a relationship between entities based on their positions or compatibility within the zodiac or astrological system.
-
D.
timeRelationToSpringTerm
Indicates how a given time or event is positioned relative to the spring academic term (e.g., before, during, or after it).
-
E.
isLunisolar
Indicates that something is based on or determined by both the cycles of the moon and the sun.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb47be2988190811a99dc56ae542a |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd36f112bc81908b473787e702de2f |
completed | April 1, 2026, 3:17 p.m. |
Created at: March 30, 2026, 8:39 p.m.