Triple
T15902941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myanmar Era |
E385632
|
entity |
| Predicate | yearNumbering |
P16736
|
FINISHED |
| Object | counts years from traditional Burmese epoch |
—
|
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: counts years from traditional Burmese epoch | Statement: [Myanmar Era, yearNumbering, counts years from traditional Burmese epoch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearNumbering Context triple: [Myanmar Era, yearNumbering, counts years from traditional Burmese epoch]
-
A.
calendarYearOffsetFromGregorian
Indicates the number of whole calendar years by which a given calendar system is offset relative to the Gregorian calendar.
-
B.
numberingSystemBasedOn
Indicates that one numbering system is derived from, structured according to, or conceptually dependent on another numbering system.
-
C.
calendarEpoch
chosen
Indicates the reference starting point in time from which a particular calendar system counts its dates.
-
D.
usesJulianCalendar
Indicates that the subject follows or is based on the Julian calendar system for dating events or timekeeping.
-
E.
followsCountingSystemOf
Indicates that one entity uses or adheres to the same counting or numeral system as another entity.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:52 a.m.