Triple
T2786609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai parliament |
E61824
|
entity |
| Predicate | compositionMethodUpperHouse |
P19306
|
FINISHED |
| Object | appointed |
—
|
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: appointed | Statement: [Thai parliament, compositionMethodUpperHouse, appointed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compositionMethodUpperHouse Context triple: [Thai parliament, compositionMethodUpperHouse, appointed]
-
A.
compositionTypeUpperHouse
Indicates the method or basis by which the members of an upper legislative house are constituted or selected.
-
B.
selectionMethodUpperHouse
chosen
Indicates how members of the upper house are chosen or appointed (e.g., by election, appointment, or other selection procedures).
-
C.
votingSystemUpperHouse
Indicates a relationship where a specified voting system is used to elect or constitute the members of an upper legislative house.
-
D.
appointingAuthorityUpperHouse
Indicates that the appointing authority for a given position or role is the upper house of a bicameral legislature.
-
E.
numberOfMembersUpperHouse
Indicates the total count of individuals serving as members in the upper house of a legislative body.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdeea881481908d759c72798a50fb |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd025c948190a97dd961a9592bac |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.