Triple

T14670666
Position Surface form Disambiguated ID Type / Status
Subject Lionel Penrose E344502 entity
Predicate notableWork P4 FINISHED
Object Penrose method of apportionment
The Penrose method of apportionment is a voting power allocation scheme that assigns representation weights proportional to the square root of each constituency’s population to equalize individual voting power.
E1113500 NE FINISHED

How this triple was built (4 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: Penrose method of apportionment | Statement: [Lionel Penrose, notableWork, Penrose method of apportionment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penrose method of apportionment
Context triple: [Lionel Penrose, notableWork, Penrose method of apportionment]
  • A. Weighted Inclusive Gregory method
    The Weighted Inclusive Gregory method is a proportional vote-counting procedure used in some Single Transferable Vote elections that redistributes surplus votes from elected candidates using fractional, weighted transfers to maintain fairness and accuracy in representation.
  • B. Sainte-Laguë method
    The Sainte-Laguë method is a highest-averages system of party-list proportional representation that allocates seats more evenly between large and small parties than the d’Hondt method.
  • C. largest remainder method
    The largest remainder method is a proportional representation electoral system that allocates seats by first assigning them according to full quotas of votes and then distributing remaining seats based on the largest leftover vote totals.
  • D. d’Hondt method
    The d’Hondt method is a highest-averages formula used in proportional representation systems to allocate seats or posts among parties based on their share of the vote.
  • E. congressional district method
    The congressional district method is a system for allocating Electoral College votes in which one elector is awarded to the winner of each congressional district and the remaining two electors go to the statewide popular vote winner.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Penrose method of apportionment
Triple: [Lionel Penrose, notableWork, Penrose method of apportionment]
Generated description
The Penrose method of apportionment is a voting power allocation scheme that assigns representation weights proportional to the square root of each constituency’s population to equalize individual voting power.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Penrose method of apportionment
Target entity description: The Penrose method of apportionment is a voting power allocation scheme that assigns representation weights proportional to the square root of each constituency’s population to equalize individual voting power.
  • A. Weighted Inclusive Gregory method
    The Weighted Inclusive Gregory method is a proportional vote-counting procedure used in some Single Transferable Vote elections that redistributes surplus votes from elected candidates using fractional, weighted transfers to maintain fairness and accuracy in representation.
  • B. Sainte-Laguë method
    The Sainte-Laguë method is a highest-averages system of party-list proportional representation that allocates seats more evenly between large and small parties than the d’Hondt method.
  • C. largest remainder method
    The largest remainder method is a proportional representation electoral system that allocates seats by first assigning them according to full quotas of votes and then distributing remaining seats based on the largest leftover vote totals.
  • D. d’Hondt method
    The d’Hondt method is a highest-averages formula used in proportional representation systems to allocate seats or posts among parties based on their share of the vote.
  • E. congressional district method
    The congressional district method is a system for allocating Electoral College votes in which one elector is awarded to the winner of each congressional district and the remaining two electors go to the statewide popular vote winner.
  • F. None of above. chosen

Provenance (5 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54ef2908190b189ced65eec434a completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde17a39b88190b144b6cfcc61a4b8 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde447189881909b4b0dc654a05e0d completed May 8, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69fde53290a48190b3701472bb4e3d63 completed May 8, 2026, 1:29 p.m.
Created at: April 10, 2026, 1:27 a.m.