Triple

T2377824
Position Surface form Disambiguated ID Type / Status
Subject Virginia congressional delegation E46238 entity
Predicate houseRepresentationPrinciple P14822 FINISHED
Object apportionment by population 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: apportionment by population | Statement: [Virginia congressional delegation, houseRepresentationPrinciple, apportionment by population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: houseRepresentationPrinciple
Context triple: [Virginia congressional delegation, houseRepresentationPrinciple, apportionment by population]
  • A. houseRepresentationBasis chosen
    Indicates the foundational criteria or rationale on which a particular representation of a house is based.
  • B. electRepresentativesTo
    Indicates the action by which a group or body chooses individuals to serve as its official representatives in another governing or decision-making body.
  • C. numberOfRepresentatives
    Indicates the quantity of representatives associated with a given entity or unit.
  • D. NLRepresentative
    Indicates a relationship where one entity serves as an official representative or delegate for another within the Netherlands.
  • E. ALRepresentative
    Indicates that one entity serves as an official representative or delegate acting on behalf of another entity.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abca4d89248190be7d712d5fa8382b completed March 7, 2026, 6:48 a.m.
PD Predicate disambiguation batch_69abc59d82f08190b7c36982d1ae783d completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:57 p.m.