Triple

T3252471
Position Surface form Disambiguated ID Type / Status
Subject Modern South Arabian languages E68212 entity
Predicate primaryLanguageContact P46872 FINISHED
Object Arabic language 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: Arabic language | Statement: [Modern South Arabian languages, primaryLanguageContact, Arabic language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageContact
Context triple: [Modern South Arabian languages, primaryLanguageContact, Arabic language]
  • A. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • B. primaryLanguageSide1
    Indicates that the specified language is the main or dominant language associated with the first participant or side in a relationship.
  • C. primaryLanguageConcerned
    Indicates that the relationship or action specifically involves or pertains to the main or principal language in question.
  • D. primaryLanguageBinding
    Indicates that one language or language-specific implementation is designated as the main or default binding for a given resource, interface, or functionality.
  • E. nativeLanguage
    Indicates the language that a person or entity originally learned and uses as their primary or first language.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf440bb88190a2450405afae7f1f completed March 8, 2026, 5:17 p.m.
PD Predicate disambiguation batch_69ada41ae74081909a0d1d696be8e35e completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada525bb2c8190b773efe6d696b6ab completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:09 p.m.