Triple

T26106907
Position Surface form Disambiguated ID Type / Status
Subject Aramean kingdoms E658559 entity
Predicate usedLanguageAsLinguaFranca P24056 FINISHED
Object Aramaic 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: Aramaic | Statement: [Aramean kingdoms, usedLanguageAsLinguaFranca, Aramaic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedLanguageAsLinguaFranca
Context triple: [Aramean kingdoms, usedLanguageAsLinguaFranca, Aramaic]
  • A. usesLanguageFor
    Indicates that an entity employs a particular language as a tool or medium to perform some activity, function, or purpose.
  • B. usesLanguageAs
    Indicates that one entity communicates or operates using another entity as its language or linguistic medium.
  • C. isLinguaFrancaOf chosen
    Indicates that a language serves as a common medium of communication between speakers of different native languages within a particular region, community, or context.
  • D. languageOfExpression
    Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
  • E. usedForLanguageSpokenIn
    Indicates that something (such as a resource, tool, or medium) is used for expressing or communicating a language that is spoken in a particular place or region.
  • 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_69ee5bc09c288190bc42a11972841383 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f607782ce48190a57ade3cfe455c89 completed May 2, 2026, 2:17 p.m.
PD Predicate disambiguation batch_69f5b0021da88190bdd4cf2698c23edf completed May 2, 2026, 8:04 a.m.
Created at: April 26, 2026, 7:59 p.m.