Triple

T294054
Position Surface form Disambiguated ID Type / Status
Subject Urdu E6054 entity
Predicate hasLexicalBorrowingFrom P1754 FINISHED
Object Sanskrit E3683 NE 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: Sanskrit | Statement: [Urdu, hasLexicalBorrowingFrom, Sanskrit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanskrit
Context triple: [Urdu, hasLexicalBorrowingFrom, Sanskrit]
  • A. Sanskrit chosen
    Sanskrit is an ancient Indo-Aryan language of India, foundational to Hindu religious texts and classical Indian literature, and a key source for many modern South Asian languages.
  • B. Magadhi Prakrit
    Magadhi Prakrit is an ancient Middle Indo-Aryan language of eastern India that served as a major linguistic ancestor to several modern languages of the region, including Bengali.
  • C. Maithili
    Maithili is an Indo-Aryan language spoken primarily in the eastern Indian state of Bihar and neighboring regions, with a rich literary tradition and official recognition in India.
  • D. Gandhari Prakrit
    Gandhari Prakrit is an ancient Middle Indo-Aryan language of northwestern South Asia, known from Buddhist texts and inscriptions written in the Kharoṣṭhī script.
  • E. Hindi
    Hindi is an Indo-Aryan language widely spoken across northern and central India and used in government, education, media, and popular culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ee002dd0819080f0841eb9107ee3 completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3a5d514388190ac0f748a406ae43e completed March 1, 2026, 2:35 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.