Triple
T30671739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Representatives (Myanmar) |
E780809
|
entity |
| Predicate | constitutionalQuotaMilitary |
P121962
|
FINISHED |
| Object | 25 percent of seats |
—
|
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: 25 percent of seats | Statement: [House of Representatives (Myanmar), constitutionalQuotaMilitary, 25 percent of seats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constitutionalQuotaMilitary Context triple: [House of Representatives (Myanmar), constitutionalQuotaMilitary, 25 percent of seats]
-
A.
restrictedArmySizeOf
Indicates that one entity imposes a limitation or cap on the allowable size of another entity’s army.
-
B.
constitutionalNumber
Indicates that an entity has a specific number or count defined or constrained by a constitution or foundational governing document.
-
C.
constitutionalLimit
Indicates that there is a restriction or boundary imposed by a constitution on the powers, actions, or rights involved in the relationship.
-
D.
numberOfMilitaryAppointedMembers
chosen
Indicates the count of members in a group or body who have been appointed through a military authority or process.
-
E.
constitutionalMention
Indicates that something is explicitly referenced or discussed within a constitution or constitutional document.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 29, 2026, 8:32 p.m.