Triple

T879438
Position Surface form Disambiguated ID Type / Status
Subject Madhya Pradesh E18993 entity
Predicate hasMajorCity P316 FINISHED
Object Shivpuri
Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
 E133914 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: Shivpuri | Statement: [Madhya Pradesh, hasMajorCity, Shivpuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shivpuri
Context triple: [Madhya Pradesh, hasMajorCity, Shivpuri]
  • A. Bhind
    Bhind is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center of the region.
  • B. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • C. Khandwa
    Khandwa is a city in central India known as a regional commercial and cultural center in the state of Madhya Pradesh.
  • D. Jaitpur
    Jaitpur was a princely state in central India that was incorporated into British-controlled territory in the 19th century under the controversial Doctrine of Lapse policy.
  • E. Amethi
    Amethi is a prominent Lok Sabha constituency in Uttar Pradesh, India, long associated with the Nehru–Gandhi political family.
  • 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: Shivpuri
Triple: [Madhya Pradesh, hasMajorCity, Shivpuri]
Generated description
Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shivpuri
Target entity description: Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • A. Bhind
    Bhind is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center of the region.
  • B. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • C. Khandwa
    Khandwa is a city in central India known as a regional commercial and cultural center in the state of Madhya Pradesh.
  • D. Jaitpur
    Jaitpur was a princely state in central India that was incorporated into British-controlled territory in the 19th century under the controversial Doctrine of Lapse policy.
  • E. Amethi
    Amethi is a prominent Lok Sabha constituency in Uttar Pradesh, India, long associated with the Nehru–Gandhi political family.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acc9d5f4819087afbb75b6ac3dbf completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac660a86d881908ae96a5492c9b9a2 completed March 7, 2026, 5:53 p.m.
NEDg Description generation batch_69ac67e76c3881908643b5b861826610 completed March 7, 2026, 6:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac684ea69c819098beb37929bdb47a completed March 7, 2026, 6:02 p.m.
Created at: March 1, 2026, 7:39 p.m.