Triple
T3755109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burmese calendar |
E82026
|
entity |
| Predicate | hasIntercalation |
P51140
|
FINISHED |
| Object | intercalary months |
—
|
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: intercalary months | Statement: [Burmese calendar, hasIntercalation, intercalary months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntercalation Context triple: [Burmese calendar, hasIntercalation, intercalary months]
-
A.
hasInterpolation
Indicates that one value, state, or representation is derived from others by applying an interpolation method between them.
-
B.
containsInterludes
Indicates that one entity (typically a work or composition) includes one or more interludes within its structure.
-
C.
isInterchange
Indicates that two entities can be substituted or exchanged for one another without affecting the relevant system, function, or outcome.
-
D.
hasNotableInterchange
Indicates that there exists a significant or well-known point of exchange, connection, or transfer between the related entities.
-
E.
isInterchangeBetween
Indicates a relationship where something serves as a point or medium through which two or more entities can exchange or transfer items, information, or traffic between each other.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb94ffc08190a7fd1ce71a15f787 |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc1560c248190b07438d766880990 |
completed | March 8, 2026, 6:35 p.m. |
Created at: March 8, 2026, 3:35 p.m.