Triple
T3720641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | traditional Chinese calendar |
E81628
|
entity |
| Predicate | heavenlyStemsCycleLength |
P51418
|
FINISHED |
| Object | 10 years |
—
|
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: 10 years | Statement: [traditional Chinese calendar, heavenlyStemsCycleLength, 10 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heavenlyStemsCycleLength Context triple: [traditional Chinese calendar, heavenlyStemsCycleLength, 10 years]
-
A.
lunarCalendar
Indicates that the referenced system, event, or date is defined, measured, or scheduled according to a calendar based on the phases or cycles of the Moon.
-
B.
hasAverageYearLength
Indicates that one entity has a specified average duration for its year (orbital period), typically measured over time.
-
C.
hasAverageMonthLength
Indicates that an entity is associated with a specified average length of a month, typically expressed in days.
-
D.
timeInChineseEraSystem
Indicates that a temporal reference is expressed using a specific Chinese era-based calendrical system (such as reign titles or traditional era names).
-
E.
hasSolarCycle_length_years
Indicates the duration of an entity’s solar activity cycle measured in years.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9b5ca8819094299fffc02606ce |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc48ec1a081909af0ff9f267c0ffe |
completed | March 8, 2026, 6:48 p.m. |
Created at: March 8, 2026, 3:34 p.m.