Triple

T21353673
Position Surface form Disambiguated ID Type / Status
Subject Madison County, North Carolina E526553 entity
Predicate hasCountyCodeFIPS P227 FINISHED
Object 37115 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: 37115 | Statement: [Madison County, North Carolina, hasCountyCodeFIPS, 37115]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCountyCodeFIPS
Context triple: [Madison County, North Carolina, hasCountyCodeFIPS, 37115]
  • A. hasCountyCode
    Indicates that an entity is associated with a specific county identified by a standardized county code.
  • B. hasCountyCodeType
    Indicates that an entity is associated with a specific type or classification of county code.
  • C. FIPSCode chosen
    Indicates the standardized Federal Information Processing Standards (FIPS) code assigned to identify a specific geographic or administrative entity.
  • D. hasParentCounty
    Indicates that a given county is administratively or geographically contained within, and subordinate to, a specified parent county.
  • E. hasCountyEquivalentStatus
    Indicates that an entity holds an administrative or legal status equivalent to that of a county within a given jurisdiction.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bac9e1481909121e89f046c77f6 completed April 26, 2026, 6:38 p.m.
PD Predicate disambiguation batch_69e6162bbfc88190a3e75859941b2638 completed April 20, 2026, 12:03 p.m.
Created at: April 16, 2026, 5:05 p.m.