Triple

T35172656
Position Surface form Disambiguated ID Type / Status
Subject North Carolina's 2nd congressional district E1015587 entity
Predicate hasCapitalCityInArea P58772 FINISHED
Object Raleigh, North Carolina 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: Raleigh, North Carolina | Statement: [North Carolina's 2nd congressional district, hasCapitalCityInArea, Raleigh, North Carolina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCapitalCityInArea
Context triple: [North Carolina's 2nd congressional district, hasCapitalCityInArea, Raleigh, North Carolina]
  • A. capitalCityAreaOf
    Indicates that one entity is the geographic area covered by the capital city of another entity.
  • B. hasCapitalCityWithin chosen
    Indicates that a specified capital city is geographically located within the boundaries of a given region or country.
  • C. belongsToNationCapitalArea
    Indicates that something is part of, or located within, the capital-area region of a specified nation.
  • D. capitalAreaOf
    Indicates that a specified area value represents the total land or geographic size of the capital city of a given entity.
  • E. hasMajorCityArea
    Indicates that a place or region includes, is associated with, or is served by a major metropolitan city area.
  • 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_69f76ddbfde081908bffc91572368289 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff7fc835f08190afd1f8129b7a62a2 completed May 9, 2026, 6:41 p.m.
PD Predicate disambiguation batch_69ff7f2e99ac8190ba372a1358a05a30 completed May 9, 2026, 6:38 p.m.
Created at: May 3, 2026, 4:02 p.m.