Triple

T22075573
Position Surface form Disambiguated ID Type / Status
Subject Nakshab Jarchavi E545512 entity
Predicate wroteLyricsIn P86169 FINISHED
Object Hindi 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: Hindi language | Statement: [Nakshab Jarchavi, wroteLyricsIn, Hindi language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wroteLyricsIn
Context triple: [Nakshab Jarchavi, wroteLyricsIn, Hindi language]
  • A. writesLyricsAbout
    Indicates that one entity creates song lyrics whose subject or theme is another entity.
  • B. hasWrittenLyricsFor
    Indicates that one entity is the lyricist who has created the words for a song or musical work performed or associated with another entity.
  • C. lyricsWrittenWith
    Indicates that the lyrics were written in collaboration with or using the assistance of another party or tool.
  • D. writesLyricsIn chosen
    Indicates that an entity creates or composes song lyrics in a specified language or writing system.
  • E. wroteSongWith
    Indicates that two or more entities collaborated in the creation or composition of a song.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b1904881909a1769ce8be39e05 completed April 28, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69e6f64a6a70819089d1a6c3a2384861 completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 8:28 p.m.