Triple

T6631008
Position Surface form Disambiguated ID Type / Status
Subject Gilford E149922 entity
Predicate hasPostalProvinceCode P21657 FINISHED
Object ON 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: ON | Statement: [Gilford, hasPostalProvinceCode, ON]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPostalProvinceCode
Context triple: [Gilford, hasPostalProvinceCode, ON]
  • A. hasPostalAbbreviationProvince chosen
    Indicates that a province is associated with a specific standardized postal abbreviation used in mailing addresses.
  • B. hasPostalTerritory
    Indicates that one entity possesses or is assigned a specific postal territory within a postal or mailing system.
  • C. hasPostalCountryCode
    Indicates that an entity is associated with a specific country code used for postal addressing or mail routing.
  • D. postalCounty
    Indicates the county associated with an entity for postal addressing or mail delivery purposes.
  • E. hasPostalTerritoryStatus
    Indicates that an entity holds a specific official status or designation as a postal territory within a postal or administrative system.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6c308a08881908501c862b3029321 completed March 27, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69c6ad024860819084b9b535b136ede6 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:59 p.m.