Triple
T16107632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyithu Hluttaw |
E390780
|
entity |
| Predicate | numberOfMilitaryAppointedMembers |
P121962
|
FINISHED |
| Object | 110 |
—
|
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: 110 | Statement: [Pyithu Hluttaw, numberOfMilitaryAppointedMembers, 110]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMilitaryAppointedMembers Context triple: [Pyithu Hluttaw, numberOfMilitaryAppointedMembers, 110]
-
A.
numberOfAppointedMembers
Indicates the specific count of members who have been formally appointed to a group, body, or position.
-
B.
numberOfCabinetMembers
Indicates the total count of cabinet members associated with a given government, administration, or leader.
-
C.
numberOfExOfficioMembers
Indicates the count of individuals who hold membership in a body or group by virtue of another office or position they occupy, rather than by direct appointment or election.
-
D.
membersAppointedFor
Indicates that certain individuals are formally designated to serve as members for a specific body, role, or purpose.
-
E.
membersAreAppointedIn
Indicates that the members of a group or body are selected or assigned to their positions within a particular organization, institution, or context.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6e55c08190b77f344e4e8c42ad |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 5 a.m.