Triple

T30463342
Position Surface form Disambiguated ID Type / Status
Subject Yazatas E775068 entity
Predicate numberCharacteristic P122832 FINISHED
Object numerous 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: numerous | Statement: [Yazatas, numberCharacteristic, numerous]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberCharacteristic
Context triple: [Yazatas, numberCharacteristic, numerous]
  • A. dataCharacteristic
    Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
  • B. valueCharacteristic chosen
    Indicates that one entity serves as a value or specific quantitative/qualitative measure that characterizes or describes another entity.
  • C. entityCharacteristic
    Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
  • D. codeCharacteristic
    Indicates that one piece of code possesses a specific property, feature, or quality in relation to another referenced aspect.
  • E. catalogCharacteristic
    Indicates that a catalog has a specific characteristic or attribute associated with it.
  • 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_69f2249622a48190b1fae2e3e4ee958a completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a007899cadc8190a04edd503eaf6514 completed May 10, 2026, 12:22 p.m.
PD Predicate disambiguation batch_6a0078493e088190b0c5047cbe75d304 completed May 10, 2026, 12:21 p.m.
Created at: April 29, 2026, 8:10 p.m.