Triple

T13835102
Position Surface form Disambiguated ID Type / Status
Subject Mahoba district E332504 entity
Predicate containsVillage P4011 FINISHED
Object Kabrai
Kabrai is a town in Uttar Pradesh, India, known primarily for its stone mining and crushing industry.
 E1064602 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: Kabrai | Statement: [Mahoba district, containsVillage, Kabrai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kabrai
Context triple: [Mahoba district, containsVillage, Kabrai]
  • A. Kaadu
    Kaadu is a 1973 Indian Kannada-language film directed by Girish Karnad, noted for its realistic portrayal of rural life and complex human relationships.
  • B. Melghat
    Melghat is a legislative assembly constituency in Maharashtra, India, known for its predominantly tribal population and forested, hilly terrain.
  • C. Bura-Pabir
    Bura-Pabir is a major West Chadic language spoken primarily in northeastern Nigeria by the Bura and Pabir ethnic groups.
  • D. Bhili
    Bhili is an Indo-Aryan language spoken primarily by the Bhil tribal communities in western and central India.
  • E. Singrauli
    Singrauli is a major industrial and energy hub in central India, known for its extensive coal mining operations and large thermal power plants.
  • 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: Kabrai
Triple: [Mahoba district, containsVillage, Kabrai]
Generated description
Kabrai is a town in Uttar Pradesh, India, known primarily for its stone mining and crushing industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kabrai
Target entity description: Kabrai is a town in Uttar Pradesh, India, known primarily for its stone mining and crushing industry.
  • A. Kaadu
    Kaadu is a 1973 Indian Kannada-language film directed by Girish Karnad, noted for its realistic portrayal of rural life and complex human relationships.
  • B. Melghat
    Melghat is a legislative assembly constituency in Maharashtra, India, known for its predominantly tribal population and forested, hilly terrain.
  • C. Bura-Pabir
    Bura-Pabir is a major West Chadic language spoken primarily in northeastern Nigeria by the Bura and Pabir ethnic groups.
  • D. Bhili
    Bhili is an Indo-Aryan language spoken primarily by the Bhil tribal communities in western and central India.
  • E. Singrauli
    Singrauli is a major industrial and energy hub in central India, known for its extensive coal mining operations and large thermal power plants.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029b352081909605baaedc336213 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f234888190bd9d5d403b236105 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7bd0cc860819083f887b4049e2359 completed May 3, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_69f7bd86c56c819093491c7f1ff61e74 completed May 3, 2026, 9:26 p.m.
Created at: April 9, 2026, 10:13 p.m.