Triple

T294051
Position Surface form Disambiguated ID Type / Status
Subject Urdu E6054 entity
Predicate hasLexicalBorrowingFrom P1754 FINISHED
Object Persian E3587 NE FINISHED

How this triple was built (3 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: Persian | Statement: [Urdu, hasLexicalBorrowingFrom, Persian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Persian
Context triple: [Urdu, hasLexicalBorrowingFrom, Persian]
  • A. Persian language chosen
    Persian language is a major modern Iranian language spoken primarily in Iran, Afghanistan, and Tajikistan, known for its rich literary tradition and historical influence across the Middle East and Central Asia.
  • B. Judeo-Persian
    Judeo-Persian is a group of Persian dialects historically spoken and written by Jewish communities in Iran, typically using the Hebrew script and incorporating Hebrew and Aramaic elements.
  • C. Iranian languages
    Iranian languages are a branch of the Indo-Iranian family of Indo-European languages, historically spoken across Iran, Central Asia, and surrounding regions, including major languages such as Persian (Farsi), Pashto, and Kurdish.
  • D. Old Persian
    Old Persian is an ancient Iranian language used in the Achaemenid Empire, primarily known from royal inscriptions such as those of Darius the Great.
  • E. Tehran dialect
    The Tehran dialect is the modern urban variety of Persian spoken in Iran’s capital, which serves as the basis for contemporary standard Persian in media and education.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLexicalBorrowingFrom
Context triple: [Urdu, hasLexicalBorrowingFrom, Persian]
  • A. hasCommonLoanwordsFrom
    Indicates that two languages share loanwords that originate from the same source language.
  • B. hasCognate
    Indicates that two linguistic forms in different languages share a common historical origin, typically descending from the same ancestral word.
  • C. cognateOf
    Indicates that two linguistic forms share a common historical origin, typically descending from the same ancestral word.
  • D. linguisticallyRelatedTo
    Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
  • E. hasLanguageOfOrigin chosen
    Indicates that one entity has its origin or source in the language specified by another entity.
  • F. None of above.

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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea0dd1dc8190aecd5afdeb2fd74b completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3ab9e277c81909b75bbeaa6c818a2 completed March 1, 2026, 2:59 a.m.
PD Predicate disambiguation batch_69a2e934b4408190b53a17f57a02df65 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.