Triple

T24393983
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania's 14th congressional district E614974 entity
Predicate reapportionedAfter P156035 FINISHED
Object 2010 United States census 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: 2010 United States census | Statement: [Pennsylvania's 14th congressional district, reapportionedAfter, 2010 United States census]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reapportionedAfter
Context triple: [Pennsylvania's 14th congressional district, reapportionedAfter, 2010 United States census]
  • A. apportionedAfter
    Indicates that one entity is distributed, allocated, or divided only after another specified event, action, or allocation has occurred.
  • B. frequencyOfReapportionment
    Indicates how often reapportionment occurs within a given system or context.
  • C. redistrictedAfter
    Indicates that one districting arrangement or boundary configuration was created or implemented following, and typically as a result of, another districting arrangement.
  • D. reapportionmentEffect
    Indicates the impact or consequences that a reapportionment (such as redistricting or redistribution of representation) has on the related entities.
  • E. apportionedBy
    Indicates that something is divided or allocated among parts or recipients according to a specified agent, rule, or method.
  • 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_69e2d7e509b88190a53155d4f3de45ce completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2945afa80819094f7154f7539d0d1 completed April 29, 2026, 11:29 p.m.
PD Predicate disambiguation batch_69f287c4a2b48190b80fb7a3c0e9b018 completed April 29, 2026, 10:35 p.m.
PDg Predicate description generation batch_69f28f4d978c81908310c01def2514cc completed April 29, 2026, 11:07 p.m.
Created at: April 18, 2026, 2:04 a.m.