Triple
T264434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliament of Pakistan |
E5693
|
entity |
| Predicate | upperHouseMembershipType |
P4892
|
FINISHED |
| Object | indirectly elected |
—
|
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: indirectly elected | Statement: [Parliament of Pakistan, upperHouseMembershipType, indirectly elected]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperHouseMembershipType Context triple: [Parliament of Pakistan, upperHouseMembershipType, indirectly elected]
-
A.
upperHouse
Indicates that one entity functions as the higher or upper legislative chamber in relation to a given political or governmental system.
-
B.
typeOfParliamentaryBody
Indicates the specific kind or classification of a parliamentary body that an entity represents (e.g., lower house, upper house, unicameral chamber).
-
C.
votingSystemUpperHouse
chosen
Indicates a relationship where a specified voting system is used to elect or constitute the members of an upper legislative house.
-
D.
lowerHouse
Indicates that one entity functions as the lower chamber of a bicameral legislature in relation to a given political body or system.
-
E.
areRepresentedIn
Indicates that one entity serves as a representation, depiction, or encoding of another entity within a given medium, context, or system.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25d8e809881908a58c9a4e3ba07c3 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6e07748190834022a65ba6d803 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.