Triple

T15428516
Position Surface form Disambiguated ID Type / Status
Subject Madhesh Province E369573 entity
Predicate containsCity P294 FINISHED
Object Maulapur
Maulapur is a town located in Madhesh Province in southeastern Nepal.
E1159599 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: Maulapur | Statement: [Madhesh Province, containsCity, Maulapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maulapur
Context triple: [Madhesh Province, containsCity, Maulapur]
  • A. Malkapur
    Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
  • B. Mushalpur
    Mushalpur is a small town in the Indian state of Assam that serves as an administrative and commercial center for the surrounding rural region.
  • C. Dantapura
    Dantapura was an ancient city traditionally identified as the royal and administrative center of the Kalinga kingdom in eastern India.
  • D. Brahmapuri
    Brahmapuri is a town in Maharashtra, India, known as one of the important urban centers within Chandrapur district.
  • E. Bhagwanpura
    Bhagwanpura is a town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and market center for surrounding rural areas.
  • 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: Maulapur
Triple: [Madhesh Province, containsCity, Maulapur]
Generated description
Maulapur is a town located in Madhesh Province in southeastern Nepal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maulapur
Target entity description: Maulapur is a town located in Madhesh Province in southeastern Nepal.
  • A. Malkapur
    Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
  • B. Mushalpur
    Mushalpur is a small town in the Indian state of Assam that serves as an administrative and commercial center for the surrounding rural region.
  • C. Dantapura
    Dantapura was an ancient city traditionally identified as the royal and administrative center of the Kalinga kingdom in eastern India.
  • D. Brahmapuri
    Brahmapuri is a town in Maharashtra, India, known as one of the important urban centers within Chandrapur district.
  • E. Bhagwanpura
    Bhagwanpura is a town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and market center for surrounding rural areas.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf5d788819086a94af42c2ec21a completed May 9, 2026, 12:47 p.m.
NEDg Description generation batch_69ff2e4010dc8190b0f81d03acf8ba41 completed May 9, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_69ff310c2d5c819093295c45307176ec completed May 9, 2026, 1:05 p.m.
Created at: April 10, 2026, 3:20 a.m.