Triple

T3359989
Position Surface form Disambiguated ID Type / Status
Subject National Assembly of Kuwait E70696 entity
Predicate membersElectedFromEachDistrict P38391 FINISHED
Object 10 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: 10 | Statement: [National Assembly of Kuwait, membersElectedFromEachDistrict, 10]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: membersElectedFromEachDistrict
Context triple: [National Assembly of Kuwait, membersElectedFromEachDistrict, 10]
  • A. eachDistrictElects chosen
    Indicates that every electoral district selects or chooses its own representative or set of representatives.
  • B. numberOfElectedMembers
    Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
  • C. electedFrom
    Indicates that an individual has been chosen through an election to represent or serve a specific geographic area, constituency, or jurisdiction.
  • D. electedMembers
    Indicates that certain individuals have been chosen through an election process to serve as members of a specific body or organization.
  • E. representedElectoralDistrict
    Indicates that an elected official served as the representative for a specific electoral district or constituency.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb266c4a881908aded39ccb8f43b2 completed March 8, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69ada42fbe7c8190b9f185b5ab985f17 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:13 p.m.