Triple

T31703726
Position Surface form Disambiguated ID Type / Status
Subject United States House of Representatives districts in Arizona E809124 entity
Predicate currentApportionmentBasedOn P130274 FINISHED
Object 2010 United States census NE NERFINISHED

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: 2010 United States census | Statement: [United States House of Representatives districts in Arizona, currentApportionmentBasedOn, 2010 United States census]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: currentApportionmentBasedOn
Context triple: [United States House of Representatives districts in Arizona, currentApportionmentBasedOn, 2010 United States census]
  • A. apportionedBy
    Indicates that something is divided or allocated among parts or recipients according to a specified agent, rule, or method.
  • B. firstApportionedUnderCurrentSystem
    Indicates that something was initially allocated or distributed under the rules of the current system in use.
  • C. isApportionedByPopulation
    Indicates that something (such as representation, resources, or obligations) is divided among groups in proportion to their population size.
  • D. dataUsedForApportionment chosen
    Indicates that certain data is utilized as the basis for determining how something (such as representation, resources, or allocations) is apportioned among different units or groups.
  • E. frequencyOfReapportionment
    Indicates how often reapportionment occurs within a given system or context.
  • 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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fe744faca881908e11e90e0a35653f completed May 8, 2026, 11:39 p.m.
PD Predicate disambiguation batch_69fe734cbf7081909a552c5cf3b5ea59 completed May 8, 2026, 11:35 p.m.
Created at: April 30, 2026, 11:13 p.m.