Triple

T33098112
Position Surface form Disambiguated ID Type / Status
Subject Shaoyang Old Xiang E846965 entity
Predicate belongsToLinguisticTradition P145372 FINISHED
Object Sinitic languages 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: Sinitic languages | Statement: [Shaoyang Old Xiang, belongsToLinguisticTradition, Sinitic languages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToLinguisticTradition
Context triple: [Shaoyang Old Xiang, belongsToLinguisticTradition, Sinitic languages]
  • A. belongsToMacroTradition
    Indicates that one entity is classified as part of, or originating from, a broader overarching tradition or school.
  • B. belongsToNamingTradition
    Indicates that an entity is associated with or classified under a particular naming tradition or convention.
  • C. hasLinguisticAffiliation chosen
    Indicates a relationship where an entity is associated with or belongs to a particular language or linguistic group.
  • D. belongsToLinguisticRegion
    Indicates that one linguistic entity (such as a language, dialect, or speech variety) is associated with or situated within a particular linguistic region or area.
  • E. textBelongsToTradition
    Indicates that a given text is associated with, derived from, or recognized as part of a particular intellectual, cultural, or religious tradition.
  • 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_69f3495590dc8190aa04f3dec74ce976 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff0d80c0dc81909fbd12285c7a45c0 completed May 9, 2026, 10:33 a.m.
PD Predicate disambiguation batch_69ff0cd03e78819094895058f925fbfa completed May 9, 2026, 10:30 a.m.
Created at: May 1, 2026, 1:26 a.m.