Triple

T20146360
Position Surface form Disambiguated ID Type / Status
Subject Washim district E491311 entity
Predicate hasTown P847 FINISHED
Object Mangrulpir
Mangrulpir is a town in Maharashtra, India, known as a local commercial and religious center within the Washim district.
 E1414774 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: Mangrulpir | Statement: [Washim district, hasTown, Mangrulpir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mangrulpir
Context triple: [Washim district, hasTown, Mangrulpir]
  • A. Suhungmung
    Suhungmung was a prominent 16th-century Ahom king of Assam known for major territorial expansion, administrative reforms, and successful resistance against external invasions.
  • B. Thantlang
    Thantlang is a town in western Myanmar known for its predominantly Chin population and its location in the hilly, remote region near the India–Myanmar border.
  • C. Banmankhi
    Banmankhi is a town and administrative block in the Purnia district of Bihar, India, known primarily as a local commercial and agricultural center.
  • D. Maung
    Maung is an Aboriginal Australian language traditionally spoken by the Maung people of the Goulburn Islands in the Northern Territory.
  • E. Maung
    Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
  • 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: Mangrulpir
Triple: [Washim district, hasTown, Mangrulpir]
Generated description
Mangrulpir is a town in Maharashtra, India, known as a local commercial and religious center within the Washim district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mangrulpir
Target entity description: Mangrulpir is a town in Maharashtra, India, known as a local commercial and religious center within the Washim district.
  • A. Suhungmung
    Suhungmung was a prominent 16th-century Ahom king of Assam known for major territorial expansion, administrative reforms, and successful resistance against external invasions.
  • B. Thantlang
    Thantlang is a town in western Myanmar known for its predominantly Chin population and its location in the hilly, remote region near the India–Myanmar border.
  • C. Banmankhi
    Banmankhi is a town and administrative block in the Purnia district of Bihar, India, known primarily as a local commercial and agricultural center.
  • D. Maung
    Maung is an Aboriginal Australian language traditionally spoken by the Maung people of the Goulburn Islands in the Northern Territory.
  • E. Maung
    Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679e43a48190b3a5da5710b07ff7 completed April 20, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08346b8d7c819091e112e391ab1b58 completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a08366132148190a316f28e027664eb completed May 16, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_6a08370f25c4819085da226ded7ae658 completed May 16, 2026, 9:21 a.m.
Created at: April 11, 2026, 11:33 p.m.