Triple
T3755091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burmese calendar |
E82026
|
entity |
| Predicate | eraAbbreviation |
P51139
|
FINISHED |
| Object | ME |
—
|
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: ME | Statement: [Burmese calendar, eraAbbreviation, ME]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraAbbreviation Context triple: [Burmese calendar, eraAbbreviation, ME]
-
A.
divisionAbbreviation
Indicates that one entity is the standard shortened or abbreviated form of the name of a division associated with another entity.
-
B.
hasNameAbbreviation
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
-
C.
hasAbbreviationForRegion
Indicates that one entity is used as the standard abbreviated form of the name of a particular region.
-
D.
federationAbbreviation
Indicates that one entity is the standard short-form or abbreviated designation of a federation associated with another entity.
-
E.
rankAbbreviation
Indicates that one term is an abbreviated form of a rank or title corresponding to another term.
- 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.