Triple

T7852250
Position Surface form Disambiguated ID Type / Status
Subject Buldhana district E182083 entity
Predicate hasTown P847 FINISHED
Object Chikhli
Chikhli is a town in the Buldhana district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
E701689 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: Chikhli | Statement: [Buldhana district, hasTown, Chikhli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chikhli
Context triple: [Buldhana district, hasTown, Chikhli]
  • A. Khandala
    Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
  • B. Palkhed
    Palkhed is a village in Maharashtra, India, historically notable as the site of the 1728 Battle of Palkhed between the Maratha Empire and the Nizam of Hyderabad.
  • C. Chamkoria
    Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
  • D. Parbhani
    Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
  • E. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • 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: Chikhli
Triple: [Buldhana district, hasTown, Chikhli]
Generated description
Chikhli is a town in the Buldhana district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chikhli
Target entity description: Chikhli is a town in the Buldhana district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
  • A. Khandala
    Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
  • B. Palkhed
    Palkhed is a village in Maharashtra, India, historically notable as the site of the 1728 Battle of Palkhed between the Maratha Empire and the Nizam of Hyderabad.
  • C. Chamkoria
    Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
  • D. Parbhani
    Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
  • E. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ec48548190960bd564a60effa8 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf21add88190bc07d3164e940116 completed March 31, 2026, 2:50 p.m.
NEDg Description generation batch_69cbe309518481909b0857271cb27ab0 completed March 31, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69cc05e055588190a5680c4416631c32 completed March 31, 2026, 5:35 p.m.
Created at: March 30, 2026, 4:51 p.m.