Triple

T1571912
Position Surface form Disambiguated ID Type / Status
Subject zebra finch E33558 entity
Predicate vocalLearning P1338 FINISHED
Object yes 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: yes | Statement: [zebra finch, vocalLearning, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vocalLearning
Context triple: [zebra finch, vocalLearning, yes]
  • A. vocalForces
    Indicates a relationship where one entity uses vocal expression (such as speech, singing, or sound) to exert influence, pressure, or compulsion on another entity.
  • B. vocalizationMethod
    Indicates the manner or technique by which an entity produces a sound or vocal expression.
  • C. vocalization chosen
    Indicates the act or manner of producing sounds or calls, typically as a means of communication.
  • D. hasVocals
    Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
  • E. vocalRange
    Indicates the span of pitches or notes that an entity (such as a singer or instrument) is capable of producing.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a96083e7308190abbf025fe8e43abb completed March 5, 2026, 10:52 a.m.
PD Predicate disambiguation batch_69a907ba63c88190b60c14dec8d1e40f completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:27 p.m.