Triple

T2292819
Position Surface form Disambiguated ID Type / Status
Subject Sitamarhi district E51542 entity
Predicate containsTown P847 FINISHED
Object Pupri
Pupri is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local commercial and administrative center for surrounding rural areas.
 E255865 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: Pupri | Statement: [Sitamarhi district, containsTown, Pupri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pupri
Context triple: [Sitamarhi district, containsTown, Pupri]
  • A. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • B. Panna
    Panna is a town in central India renowned for its diamond mines and proximity to Panna National Park, a noted tiger reserve.
  • C. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • D. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • E. Verbania
    Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
  • 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: Pupri
Triple: [Sitamarhi district, containsTown, Pupri]
Generated description
Pupri is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local commercial and administrative center for surrounding rural areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pupri
Target entity description: Pupri is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local commercial and administrative center for surrounding rural areas.
  • A. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • B. Panna
    Panna is a town in central India renowned for its diamond mines and proximity to Panna National Park, a noted tiger reserve.
  • C. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • D. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • E. Verbania
    Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5d90d988190b3253b54e5bb5530 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8952322c81909d58b89139f51a27 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8d5b13bc819094d0cc02736ba6b5 completed March 9, 2026, 9:05 a.m.
NED2 Entity disambiguation (via description) batch_69ae8dd17a0081908c08d344178674d5 completed March 9, 2026, 9:07 a.m.
Created at: March 4, 2026, 7:48 p.m.