Triple

T27313521
Position Surface form Disambiguated ID Type / Status
Subject 4th Avenue (Seattle) E689271 entity
Predicate belongsToNumberingSystem P5213 FINISHED
Object Seattle avenue numbering system 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: Seattle avenue numbering system | Statement: [4th Avenue (Seattle), belongsToNumberingSystem, Seattle avenue numbering system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToNumberingSystem
Context triple: [4th Avenue (Seattle), belongsToNumberingSystem, Seattle avenue numbering system]
  • A. numberingSystemBasedOn
    Indicates that one numbering system is derived from, structured according to, or conceptually dependent on another numbering system.
  • B. hasNumberSystem chosen
    Indicates that an entity possesses or uses a particular system for representing and organizing numbers.
  • C. laterNumberingSystem
    Indicates that one numbering system was adopted or used after another, reflecting a subsequent or more recent scheme of numbering.
  • D. usesHarmonizedNumberingWith
    Indicates that two entities apply the same standardized numbering scheme so their identifiers or codes are directly comparable or aligned.
  • E. followsCountingSystemOf
    Indicates that one entity uses or adheres to the same counting or numeral system as another entity.
  • 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_69ef355c53a08190a8a92e355a7ce115 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f7979a073881909a4fde2558e6b6f3 completed May 3, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69f7961550f88190b7bb8a9155458b54 completed May 3, 2026, 6:38 p.m.
Created at: April 27, 2026, 11:29 a.m.