Triple

T12847446
Position Surface form Disambiguated ID Type / Status
Subject Jaipuri E307216 entity
Predicate partOf P40 FINISHED
Object Rajasthani dialect continuum 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 dialect continuum | Statement: [Jaipuri, partOf, Rajasthani dialect continuum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajasthani dialect continuum
Context triple: [Jaipuri, partOf, Rajasthani dialect continuum]
  • A. Shekhawati dialect
    The Shekhawati dialect is a regional variety of Rajasthani spoken primarily in the Shekhawati region of Rajasthan, India.
  • B. Kauravi dialect
    Kauravi dialect is a regional variety of Hindi-Urdu traditionally spoken in and around the Delhi region of northern India.
  • C. Tyari dialect
    The Tyari dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Tyari region in the Hakkari mountains.
  • D. Rajasthani chosen
    Rajasthani is an Indo-Aryan language (or group of dialects) spoken primarily in the Indian state of Rajasthan and surrounding regions.
  • E. Rampuri dialect
    Rampuri dialect is a regional variety of Hindi-Urdu spoken in and around the city of Rampur in northern India, characterized by its distinct phonetic and lexical features.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff49efc8190bd6bbac510cc4705 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba1ef2481909bcf68a698afd3c6 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.