Triple

T2596466
Position Surface form Disambiguated ID Type / Status
Subject Syrah E58242 entity
Predicate synonymUsedInCountry P3575 FINISHED
Object Shiraz in Australia 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: Shiraz in Australia | Statement: [Syrah, synonymUsedInCountry, Shiraz in Australia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: synonymUsedInCountry
Context triple: [Syrah, synonymUsedInCountry, Shiraz in Australia]
  • A. synonym chosen
    Indicates that two terms have the same or nearly the same meaning in a given context.
  • B. linguisticallyRelatedTo
    Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
  • C. cognateOf
    Indicates that two linguistic forms share a common historical origin, typically descending from the same ancestral word.
  • D. languageEquivalent
    Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
  • E. cognate
    Indicates that two linguistic forms share a common historical origin, typically deriving from the same ancestral word.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd42b3cd4819093b2cab78de1f66c completed March 7, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69abd0d344988190a18dd93b13e002e6 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:49 p.m.