Triple

T879455
Position Surface form Disambiguated ID Type / Status
Subject Madhya Pradesh E18993 entity
Predicate hasMajorCity P316 FINISHED
Object Guna
Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
 E108085 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: Guna | Statement: [Madhya Pradesh, hasMajorCity, Guna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guna
Context triple: [Madhya Pradesh, hasMajorCity, Guna]
  • A. Yoogali
    Yoogali is a small town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and proximity to the city of Griffith.
  • B. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • C. Nganasan
    The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
  • D. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • E. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • 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: Guna
Triple: [Madhya Pradesh, hasMajorCity, Guna]
Generated description
Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guna
Target entity description: Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
  • A. Yoogali
    Yoogali is a small town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and proximity to the city of Griffith.
  • B. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • C. Nganasan
    The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
  • D. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • E. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • 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_69a7cf55fec481908460522373cc48ba completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7cfecba308190ae966e2e28e474b0 completed March 4, 2026, 6:23 a.m.
NED2 Entity disambiguation (via description) batch_69a7d041893881908a2dbf7af521db4d completed March 4, 2026, 6:25 a.m.
Created at: March 1, 2026, 7:39 p.m.