Triple

T10334261
Position Surface form Disambiguated ID Type / Status
Subject Pinckney Plan E242958 entity
Predicate proposedLowerHouseSelection P42734 FINISHED
Object popular election 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: popular election | Statement: [Pinckney Plan, proposedLowerHouseSelection, popular election]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: proposedLowerHouseSelection
Context triple: [Pinckney Plan, proposedLowerHouseSelection, popular election]
  • A. lowerHouseElectedBy chosen
    Indicates that the members of the lower house of a legislature are chosen through a specified method or by a particular group of voters or body.
  • B. electedFrom
    Indicates that an individual has been chosen through an election to represent or serve a specific geographic area, constituency, or jurisdiction.
  • C. lowerHouse
    Indicates that one entity functions as the lower chamber of a bicameral legislature in relation to a given political body or system.
  • D. hasVotingSystemLowerHouse
    Indicates that a political entity’s lower legislative chamber uses a specified voting or electoral system.
  • E. electorate
    Indicates that an entity functions as the body of people entitled to vote in relation to a particular political unit, office, or decision.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e91fdb2081909866c6ecf417d75a completed April 7, 2026, 11:23 a.m.
PD Predicate disambiguation batch_69d4df9dc3208190bf1bd106f44f6202 completed April 7, 2026, 10:42 a.m.
Created at: April 6, 2026, 11:53 a.m.