Triple
T38135802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinhai |
E952347
|
entity |
| Predicate | positionInSexagenaryCycle |
P201688
|
FINISHED |
| Object | 48 |
—
|
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: 48 | Statement: [Xinhai, positionInSexagenaryCycle, 48]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInSexagenaryCycle Context triple: [Xinhai, positionInSexagenaryCycle, 48]
-
A.
usesSexagenaryCycleFor
Indicates that something is organized, measured, or represented using the traditional sexagenary (base-60) cyclical system.
-
B.
positionInCivilYear
Indicates the specific point or ordering of something within the sequence of time units that make up a civil (calendar) year.
-
C.
heavenlyStemsCycleLength
Indicates the length of the repeating cycle of the Heavenly Stems sequence in a calendrical or ordinal system.
-
D.
positionInGregorianCalendar
Indicates the specific placement or ordering of a time-related entity within the structure of the Gregorian calendar.
-
E.
positionInZodiac
Indicates the specific place or rank an entity occupies within the ordered sequence of zodiac signs.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00144238708190acbec3f791cc873e |
completed | May 10, 2026, 5:14 a.m. |
| PD | Predicate disambiguation | batch_6a00120244a4819090ef39070aba9d99 |
completed | May 10, 2026, 5:05 a.m. |
| PDg | Predicate description generation | batch_6a001440a26c81908ba50779bb6e1679 |
completed | May 10, 2026, 5:14 a.m. |
Created at: May 3, 2026, 4:21 p.m.