Triple

T34120413
Position Surface form Disambiguated ID Type / Status
Subject Tomitaro E875109 entity
Predicate isTypicallyNotUsedAs P40931 FINISHED
Object family name 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: family name | Statement: [Tomitaro, isTypicallyNotUsedAs, family name]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isTypicallyNotUsedAs
Context triple: [Tomitaro, isTypicallyNotUsedAs, family name]
  • A. notTypicallyUsedFor
    Indicates that something is generally not used for a particular purpose, function, or activity under normal circumstances.
  • B. isNotUsedAs
    Indicates that one entity does not serve, function, or act in the role or capacity of another specified entity or purpose.
  • C. isSometimesUsedFor
    Indicates that something serves a particular purpose or function on some occasions, but not consistently or exclusively.
  • D. notTypically chosen
    Indicates that the referenced situation, behavior, or relationship does not usually or normally occur under standard or expected conditions.
  • E. notAutomaticallyUsedBy
    Indicates that something is not used by another entity in an automatic or default manner and instead requires explicit action or configuration to be used.
  • 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_69f349a9271c81909576994c9ef7b179 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71362f1448190985a80ce7af475cb completed May 3, 2026, 9:20 a.m.
PD Predicate disambiguation batch_69f7127884388190884f23d181a65d19 completed May 3, 2026, 9:16 a.m.
Created at: May 1, 2026, 1:53 a.m.