Triple

T21332912
Position Surface form Disambiguated ID Type / Status
Subject Bhind district E525957 entity
Predicate hasTown P847 FINISHED
Object Mihona
Mihona is a small town in the Bhind district of the Indian state of Madhya Pradesh, known for its rural setting and local agricultural economy.
 E1478487 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: Mihona | Statement: [Bhind district, hasTown, Mihona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mihona
Context triple: [Bhind district, hasTown, Mihona]
  • A. Mijas
    Mijas is a picturesque municipality in the province of Málaga in southern Spain, known for its whitewashed village, coastal resorts, and location along the Costa del Sol.
  • B. Mirina
    Mirina is a coastal town on the Greek island of Lemnos, serving as its capital and main port in the northern Aegean Sea.
  • C. Masohi
    Masohi is a town that serves as the administrative center of Central Maluku Regency on Seram Island in Indonesia.
  • D. Miyaki
    Miyaki is a town in Saga Prefecture, Japan, known for its cultural and municipal exchange partnerships with European communities such as Rheinbach in Germany.
  • E. Monjo
    Monjo is a small Sherpa village in Nepal’s Khumbu region that serves as a common stop for trekkers on the route to Everest Base Camp.
  • 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: Mihona
Triple: [Bhind district, hasTown, Mihona]
Generated description
Mihona is a small town in the Bhind district of the Indian state of Madhya Pradesh, known for its rural setting and local agricultural economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mihona
Target entity description: Mihona is a small town in the Bhind district of the Indian state of Madhya Pradesh, known for its rural setting and local agricultural economy.
  • A. Mijas
    Mijas is a picturesque municipality in the province of Málaga in southern Spain, known for its whitewashed village, coastal resorts, and location along the Costa del Sol.
  • B. Mirina
    Mirina is a coastal town on the Greek island of Lemnos, serving as its capital and main port in the northern Aegean Sea.
  • C. Masohi
    Masohi is a town that serves as the administrative center of Central Maluku Regency on Seram Island in Indonesia.
  • D. Miyaki
    Miyaki is a town in Saga Prefecture, Japan, known for its cultural and municipal exchange partnerships with European communities such as Rheinbach in Germany.
  • E. Monjo
    Monjo is a small Sherpa village in Nepal’s Khumbu region that serves as a common stop for trekkers on the route to Everest Base Camp.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5ba65c4081908b93d5dc6a937cb6 completed April 26, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5be9c288190b44f760ad94d9fed completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a6922e1c8190a2210b22ed1f31ef completed May 17, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09a6f4db008190b11b10c45ab20ed5 completed May 17, 2026, 11:31 a.m.
Created at: April 16, 2026, 4:42 p.m.