Triple

T22281012
Position Surface form Disambiguated ID Type / Status
Subject Machin E550729 entity
Predicate provincialAbbreviation 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: [Machin, provincialAbbreviation, ON]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: provincialAbbreviation
Context triple: [Machin, provincialAbbreviation, ON]
  • A. hasPostalAbbreviationProvince chosen
    Indicates that a province is associated with a specific standardized postal abbreviation used in mailing addresses.
  • B. portAbbreviation
    Indicates that one port is an abbreviated or shortened form of another port’s name or designation.
  • C. hasPostalAbbreviationState
    Indicates that a state is associated with a specific standardized postal abbreviation.
  • D. cityAbbreviationOf
    Indicates that one term is an official or commonly used abbreviated form of the name of a particular city.
  • E. associatedProvinceOrState
    Indicates that one entity is linked or related to a specific province or state as its relevant administrative region.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14eab4f848190b1a8ba70f9fb0581 completed April 29, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e72ff0363081909f794d19c8a64837 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:40 p.m.