Triple

T11687312
Position Surface form Disambiguated ID Type / Status
Subject Khandwa district E277775 entity
Predicate hasNotableTown P14082 FINISHED
Object Mundi
Mundi is a town in the Khandwa district of Madhya Pradesh, India, known locally as an important regional center for trade and agriculture.
 E941014 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: Mundi | Statement: [Khandwa district, hasNotableTown, Mundi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mundi
Context triple: [Khandwa district, hasNotableTown, Mundi]
  • A. Mulk
    Mulk is the name of one of the nineteen months in the Badíʻ (Baháʼí) calendar, associated with the concept of dominion or sovereignty.
  • B. Hatnua
    Hatnua was a centrist, liberal political party in Israel founded and led by Tzipi Livni, focusing on peace negotiations and social reform.
  • C. Mapun
    Mapun is an Austronesian language spoken primarily by the Mapun people of the southern Philippines, particularly on Mapun (Cagayan de Sulu) Island in the Sulu Sea.
  • D. Toda
    Toda is a city in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town in the Greater Tokyo Area.
  • E. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • 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: Mundi
Triple: [Khandwa district, hasNotableTown, Mundi]
Generated description
Mundi is a town in the Khandwa district of Madhya Pradesh, India, known locally as an important regional center for trade and agriculture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mundi
Target entity description: Mundi is a town in the Khandwa district of Madhya Pradesh, India, known locally as an important regional center for trade and agriculture.
  • A. Mulk
    Mulk is the name of one of the nineteen months in the Badíʻ (Baháʼí) calendar, associated with the concept of dominion or sovereignty.
  • B. Hatnua
    Hatnua was a centrist, liberal political party in Israel founded and led by Tzipi Livni, focusing on peace negotiations and social reform.
  • C. Mapun
    Mapun is an Austronesian language spoken primarily by the Mapun people of the southern Philippines, particularly on Mapun (Cagayan de Sulu) Island in the Sulu Sea.
  • D. Toda
    Toda is a city in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town in the Greater Tokyo Area.
  • E. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4654be881909bd0256cf18e25de completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef14431f3c81908af9167c46f8c2bc completed April 27, 2026, 7:46 a.m.
NEDg Description generation batch_69ef511f8f688190b2806d4e8ab16511 completed April 27, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_69ef537efcc48190afffaa50f28940d8 completed April 27, 2026, 12:15 p.m.
Created at: April 8, 2026, 9:40 p.m.