Triple

T1841191
Position Surface form Disambiguated ID Type / Status
Subject Fiji Hindi E41179 entity
Predicate hasLexicalSource P9129 FINISHED
Object North Indian Hindi dialects 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: North Indian Hindi dialects | Statement: [Fiji Hindi, hasLexicalSource, North Indian Hindi dialects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLexicalSource
Context triple: [Fiji Hindi, hasLexicalSource, North Indian Hindi dialects]
  • A. hasSourceBody
    Indicates that something originates from, is derived from, or is produced by a specified source entity or body.
  • B. hasLexicalInfluenceOn chosen
    Indicates that one linguistic element (such as a word, phrase, or lexicon) has affected or shaped the form, usage, or meaning of another linguistic element.
  • C. hasLineNumber
    Indicates that something is associated with a specific line number, typically denoting its position within an ordered sequence such as lines of text or code.
  • D. hasSymbolLocation
    Indicates that a symbol is associated with or positioned at a specific location.
  • E. hasLinguisticElement
    Indicates that one entity includes, is associated with, or is characterized by a particular linguistic component such as a word, phrase, symbol, or other language element.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb32d35508190bf1c487dffbecaf0 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafdb0d2c8190a67f584e67979fa3 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:33 p.m.