Triple

T2614002
Position Surface form Disambiguated ID Type / Status
Subject Shekhawati E58842 entity
Predicate partOf P40 FINISHED
Object Rajasthani language E31770 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: Rajasthani language | Statement: [Shekhawati, partOf, Rajasthani language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajasthani language
Context triple: [Shekhawati, partOf, Rajasthani language]
  • A. Rajasthani chosen
    Rajasthani is an Indo-Aryan language (or group of dialects) spoken primarily in the Indian state of Rajasthan and surrounding regions.
  • B. Braj Bhasha
    Braj Bhasha is a Western Hindi literary language historically associated with the Braj region of India and renowned for its devotional poetry dedicated to Krishna.
  • C. Sarnami Hindustani
    Sarnami Hindustani is a Hindi–Bhojpuri-based Indo-Aryan language developed among Indo-Caribbean communities, particularly in Suriname, from the speech of Indian indentured laborers.
  • D. Swati language
    Swati language is a Bantu language of the Nguni group spoken primarily in Eswatini and parts of South Africa.
  • E. Sant Bhasha
    Sant Bhasha is a historical North Indian devotional literary language used in Sikh and related spiritual poetry, written in the Gurmukhi script.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87dcfbc8190b264062002bfe4ba completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83eb8b088190b1ea47c6d42033c5 completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:50 p.m.