Triple

T2877228
Position Surface form Disambiguated ID Type / Status
Subject Dhundhari E56905 entity
Predicate alternateName P39 FINISHED
Object Jaipuri
Jaipuri is a regional Indo-Aryan language variety spoken in and around Jaipur in the Indian state of Rajasthan.
E307216 NE FINISHED

How this triple was built (4 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: Jaipuri | Statement: [Dhundhari, alternateName, Jaipuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaipuri
Context triple: [Dhundhari, alternateName, Jaipuri]
  • A. Damoh
    Damoh is a city in central India that serves as the administrative headquarters of Damoh district in the state of Madhya Pradesh.
  • B. Kathiawari
    Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
  • C. Benipatti
    Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
  • D. Samyabadi
    Samyabadi is a revolutionary Bengali poem by Kazi Nazrul Islam that powerfully expresses themes of equality, rebellion, and social justice.
  • E. Mahanagar
    Mahanagar is a 1963 Bengali drama film by Satyajit Ray that explores the social and familial tensions arising when a middle-class housewife takes up employment in Calcutta.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jaipuri
Triple: [Dhundhari, alternateName, Jaipuri]
Generated description
Jaipuri is a regional Indo-Aryan language variety spoken in and around Jaipur in the Indian state of Rajasthan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jaipuri
Target entity description: Jaipuri is a regional Indo-Aryan language variety spoken in and around Jaipur in the Indian state of Rajasthan.
  • A. Damoh
    Damoh is a city in central India that serves as the administrative headquarters of Damoh district in the state of Madhya Pradesh.
  • B. Kathiawari
    Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
  • C. Benipatti
    Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
  • D. Samyabadi
    Samyabadi is a revolutionary Bengali poem by Kazi Nazrul Islam that powerfully expresses themes of equality, rebellion, and social justice.
  • E. Mahanagar
    Mahanagar is a 1963 Bengali drama film by Satyajit Ray that explores the social and familial tensions arising when a middle-class housewife takes up employment in Calcutta.
  • F. None of above. chosen

Provenance (5 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe007329c8190b0bc1851c7307124 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03158d0ec8190ba9675ece8f62033 completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b033afe0e08190b6fbf0ec786a71eb completed March 10, 2026, 3:07 p.m.
NED2 Entity disambiguation (via description) batch_69b03437b4d081908c02c01a4dd665b1 completed March 10, 2026, 3:09 p.m.
Created at: March 6, 2026, 10:03 p.m.