Triple

T15436047
Position Surface form Disambiguated ID Type / Status
Subject Jital E369764 entity
Predicate scriptOnCoin P20456 FINISHED
Object Nagari (on some types) E303216 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: Nagari (on some types) | Statement: [Jital, scriptOnCoin, Nagari (on some types)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagari (on some types)
Context triple: [Jital, scriptOnCoin, Nagari (on some types)]
  • A. Nagari chosen
    Nagari is an ancient North Indian script that evolved into the modern Devanagari writing system used for languages like Hindi, Marathi, and Sanskrit.
  • B. Nagari
    Nagari is a town in the Tirupati district of Andhra Pradesh, India, known for its proximity to the distinctive Nagari Hills and its role as a local commercial and administrative center.
  • C. Na-Ga
    Na-Ga is a Japanese illustrator and character designer best known for his work with the visual novel studio Key, including designs for series like Angel Beats! and Little Busters!.
  • D. Nabhaga
    Nabhaga is a figure in Hindu mythology known as one of the sons in the lineage of the ancient lawgiver Manu, associated with early royal and sage dynasties.
  • E. Nagapasha
    Nagapasha is a mythical serpent-noose weapon from Hindu epics, famed for binding its targets with powerful, inescapable snake bonds.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edb3ec481908b26164d4470c9bc completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a5e55c81909801db54032589ac completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.