Triple

T543765
Position Surface form Disambiguated ID Type / Status
Subject Goidelic E12686 entity
Predicate hasISO639FamilyCode P6290 FINISHED
Object cel 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: cel | Statement: [Goidelic, hasISO639FamilyCode, cel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasISO639FamilyCode
Context triple: [Goidelic, hasISO639FamilyCode, cel]
  • A. hasISO6393Code
    Indicates that a language or linguistic entity is associated with a specific ISO 639-3 three-letter language code.
  • B. languageFamilyCode chosen
    Indicates the language family to which a given language belongs, represented by a standardized code.
  • C. hasISOCode
    Indicates that an entity is associated with a specific standardized ISO code that uniquely identifies it according to ISO conventions.
  • D. languageFamily
    Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
  • E. languageCodeISO639-2
    Indicates that an entity is associated with a language identified by its ISO 639-2 three-letter code.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498dea88881908a938fe8f2313bec completed March 1, 2026, 7:51 p.m.
PD Predicate disambiguation batch_69a494b8098481908097228db8ad0262 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.