Triple

T20550803
Position Surface form Disambiguated ID Type / Status
Subject Missouri lettered route system E504590 entity
Predicate excludesFromUse P3119 FINISHED
Object some letters to avoid confusion with numbers 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: some letters to avoid confusion with numbers | Statement: [Missouri lettered route system, excludesFromUse, some letters to avoid confusion with numbers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: excludesFromUse
Context triple: [Missouri lettered route system, excludesFromUse, some letters to avoid confusion with numbers]
  • A. excludedFrom
    Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
  • B. excludes chosen
    Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
  • C. excludesPower
    Indicates that one entity denies, removes, or prevents another entity from having or exercising a particular power or authority.
  • D. excludesPrimary
    Indicates that one entity explicitly omits or does not include another entity as its primary or main component, option, or classification.
  • E. excludesConstruct
    Indicates that one entity explicitly omits, leaves out, or does not incorporate a particular construct in its definition, composition, or scope.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5d8b55081909c3e3e972aff846d completed April 20, 2026, 10:16 p.m.
PD Predicate disambiguation batch_69e59fe5592c8190bb6122b784496d02 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:38 a.m.