Triple

T1898647
Position Surface form Disambiguated ID Type / Status
Subject Wardha district E37639 entity
Predicate contains P35 FINISHED
Object Hinganghat
Hinganghat is a town in the Indian state of Maharashtra known for its textile industry and cotton trading.
 E212425 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: Hinganghat | Statement: [Wardha district, contains, Hinganghat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hinganghat
Context triple: [Wardha district, contains, Hinganghat]
  • A. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • B. Baghat
    Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
  • C. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • E. Kanchrapara
    Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
  • 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: Hinganghat
Triple: [Wardha district, contains, Hinganghat]
Generated description
Hinganghat is a town in the Indian state of Maharashtra known for its textile industry and cotton trading.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hinganghat
Target entity description: Hinganghat is a town in the Indian state of Maharashtra known for its textile industry and cotton trading.
  • A. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • B. Baghat
    Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
  • C. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • E. Kanchrapara
    Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb170657481908662089511a8f301 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaf08708819091566511228d8ec8 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adec0ef72481908ecc3c3383e25d3b completed March 8, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69adec8b0600819086a13abd47f0438d completed March 8, 2026, 9:39 p.m.
Created at: March 4, 2026, 7:35 p.m.