Triple

T12656526
Position Surface form Disambiguated ID Type / Status
Subject Randolph Plan E302297 entity
Predicate legislatureRepresentationBasedOn P106032 FINISHED
Object 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: population | Statement: [Randolph Plan, legislatureRepresentationBasedOn, population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legislatureRepresentationBasedOn
Context triple: [Randolph Plan, legislatureRepresentationBasedOn, population]
  • A. sharesLegislativeRepresentationIn
    Indicates that two or more entities are represented by the same legislative body, district, or representative within a political system.
  • B. legislatureTypeServed
    Indicates the type of legislative body in which an entity has served (e.g., national, state, or local legislature).
  • C. legislativeRepresentationUnit
    Indicates that one entity serves as a unit or body that provides legislative representation for another entity.
  • D. hasElectoralRepresentation
    Indicates that one entity is represented in an electoral body or decision-making institution by another entity (such as a representative, party, or delegation).
  • E. fieldOfRepresentation
    Indicates that something serves as a representational medium or domain through which another entity is depicted, modeled, or expressed.
  • F. None of above. chosen

Provenance (4 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69d960b78ce8819091f15dd5013e6da5 completed April 10, 2026, 8:42 p.m.
PDg Predicate description generation batch_69d96179c7648190a05a13991d62bebb completed April 10, 2026, 8:45 p.m.
Created at: April 9, 2026, 5:18 p.m.