Triple

T26965754
Position Surface form Disambiguated ID Type / Status
Subject rial E679167 entity
Predicate hasISOCodeVariant P163078 FINISHED
Object IRR NE NERFINISHED

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: IRR | Statement: [rial, hasISOCodeVariant, IRR]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasISOCodeVariant
Context triple: [rial, hasISOCodeVariant, IRR]
  • A. hasISOCode
    Indicates that an entity is associated with a specific standardized ISO code that uniquely identifies it according to ISO conventions.
  • B. hasISOCodeType
    Indicates that an entity is associated with a specific type or category of ISO code (e.g., country code, currency code, language code).
  • C. hasISOCodeLevel
    Indicates that an entity is associated with a specific level or tier within an ISO (International Organization for Standardization) coding system.
  • D. haveISO639Code
    Indicates that a language or linguistic entity is associated with a specific ISO 639 standardized language code.
  • E. hasISO15924Number
    Indicates that an entity (a writing script) is associated with a specific numeric code defined by the ISO 15924 standard.
  • 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_69eeeb4f3a448190b1e94b2d4776c16e completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f63639a84c81909d700a539b458b42 completed May 2, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69f631850ae08190a0ba51e4f1e4ccb3 completed May 2, 2026, 5:16 p.m.
PDg Predicate description generation batch_69f6352df6148190bc10772cd40bd7b3 completed May 2, 2026, 5:32 p.m.
Created at: April 27, 2026, 6:35 a.m.