Triple
T15903030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wagaung |
E385635
|
entity |
| Predicate | belongsToCalendarFamily |
P4276
|
FINISHED |
| Object | South and Southeast Asian lunisolar calendars |
—
|
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: South and Southeast Asian lunisolar calendars | Statement: [Wagaung, belongsToCalendarFamily, South and Southeast Asian lunisolar calendars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToCalendarFamily Context triple: [Wagaung, belongsToCalendarFamily, South and Southeast Asian lunisolar calendars]
-
A.
belongsToCalendar
Indicates that an event or item is associated with and contained within a specific calendar.
-
B.
belongsToFamily
chosen
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
C.
belongsToDynamicalFamily
Indicates that one entity is a member of, or classified within, a specific dynamical family defined by shared motion or evolution characteristics.
-
D.
belongsToLegalFamily
Indicates that one entity is a member of, or is legally affiliated with, a particular legal family or legal system tradition.
-
E.
followsCalendarOf
Indicates that one entity adopts and adheres to the scheduling, events, or time structure defined by another entity’s calendar.
- 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.