Triple

T9888992
Position Surface form Disambiguated ID Type / Status
Subject Mandarin Chinese E181408 entity
Predicate primaryPhonologicalSystem P91626 FINISHED
Object tonal language 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: tonal language | Statement: [Mandarin Chinese, primaryPhonologicalSystem, tonal language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryPhonologicalSystem
Context triple: [Mandarin Chinese, primaryPhonologicalSystem, tonal language]
  • A. primarySoundProduction
    Indicates that one entity is the main means or mechanism by which sound is produced for another entity.
  • B. hasPhonologicalBasisFor
    Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
  • C. hasPhonemicPrinciple
    Indicates that one entity employs or is based on a phonemic principle in relation to another entity (such as a writing system reflecting distinct phonemes of a language).
  • D. hasOwnPhonology
    Indicates that an entity possesses its own distinct phonological system or set of sound patterns, separate from those of other entities.
  • E. hasPhonologicalDescription
    Indicates that an entity is associated with a specific representation or description of its sound structure or phonological form.
  • F. None of above. chosen

Provenance (4 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47be2988190811a99dc56ae542a completed April 2, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69cd1d810ed48190a252b70e9390c8f3 completed April 1, 2026, 1:28 p.m.
PDg Predicate description generation batch_69cd36f112bc81908b473787e702de2f completed April 1, 2026, 3:17 p.m.
Created at: March 30, 2026, 8:39 p.m.