Triple
T10611732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Thibaw Min |
E276022
|
entity |
| Predicate | endOfOfficeSignificance |
P41368
|
FINISHED |
| Object | marked the end of Burmese independence |
—
|
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: marked the end of Burmese independence | Statement: [King Thibaw Min, endOfOfficeSignificance, marked the end of Burmese independence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endOfOfficeSignificance Context triple: [King Thibaw Min, endOfOfficeSignificance, marked the end of Burmese independence]
-
A.
afterLeavingOffice
Indicates that one event, action, or state occurs subsequent to an entity’s departure from an official position or office.
-
B.
firstOfficeholderEnd
Indicates the point in time or event at which the tenure of the first officeholder in a given position or role comes to an end.
-
C.
endOfTenure
chosen
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
-
D.
timeInOfficeCharacteristic
Indicates a characteristic or attribute specifically related to the duration or period an entity spends in office or in a particular official role.
-
E.
laterOffice
Indicates that one office or term of office occurs chronologically after another office or term.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5a1450819082ad445712fb7868 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 7:33 p.m.