Triple
T9406698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Committee Representing Pyidaungsu Hluttaw |
E226603
|
entity |
| Predicate | contextOfEstablishment |
P75950
|
FINISHED |
| Object | post-coup constitutional crisis in Myanmar |
—
|
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: post-coup constitutional crisis in Myanmar | Statement: [Committee Representing Pyidaungsu Hluttaw, contextOfEstablishment, post-coup constitutional crisis in Myanmar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contextOfEstablishment Context triple: [Committee Representing Pyidaungsu Hluttaw, contextOfEstablishment, post-coup constitutional crisis in Myanmar]
-
A.
locationOfEstablishment
Indicates the place or area where an establishment is situated or operates.
-
B.
officeEstablishedIn
Indicates that an office or official position was created or formally established in a specific time or place.
-
C.
foundedInContext
chosen
Indicates that an entity established or created another entity within a specified situational, historical, or organizational context.
-
D.
eraOfEstablishment
Indicates the time period or historical era during which an entity was founded or established.
-
E.
hasEstablishment
Indicates that one entity possesses, operates, or is associated with a particular establishment (such as a business, facility, or institution).
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c3fc988190ac34cc9e09f8ebfc |
completed | April 1, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:47 p.m.