Triple

T13895174
Position Surface form Disambiguated ID Type / Status
Subject Jharsuguda Airport E334068 entity
Predicate cityServed P82 FINISHED
Object Belpahar
Belpahar is a small industrial town in the Jharsuguda district of Odisha, India, known for its coal mining and related industries.
E1072596 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: Belpahar | Statement: [Jharsuguda Airport, cityServed, Belpahar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belpahar
Context triple: [Jharsuguda Airport, cityServed, Belpahar]
  • A. Haladhara
    Haladhara is another name for the Hindu deity Balarama, revered as Krishna’s elder brother and famed for wielding the plough as his primary weapon.
  • B. Durdhara
    Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
  • C. Mohanchoti
    Mohanchoti is an island located within Lake Pichola in Udaipur, Rajasthan, India.
  • D. Shakardara
    Shakardara is a town and administrative settlement in Pakistan’s Khyber Pakhtunkhwa province, known for its role within the Kohat region.
  • E. Malkapur
    Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
  • 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: Belpahar
Triple: [Jharsuguda Airport, cityServed, Belpahar]
Generated description
Belpahar is a small industrial town in the Jharsuguda district of Odisha, India, known for its coal mining and related industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belpahar
Target entity description: Belpahar is a small industrial town in the Jharsuguda district of Odisha, India, known for its coal mining and related industries.
  • A. Haladhara
    Haladhara is another name for the Hindu deity Balarama, revered as Krishna’s elder brother and famed for wielding the plough as his primary weapon.
  • B. Durdhara
    Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
  • C. Mohanchoti
    Mohanchoti is an island located within Lake Pichola in Udaipur, Rajasthan, India.
  • D. Shakardara
    Shakardara is a town and administrative settlement in Pakistan’s Khyber Pakhtunkhwa province, known for its role within the Kohat region.
  • E. Malkapur
    Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a741908190bdf46d76c5f1411a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c0b6848190b67051e0ccbdb707 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba8faa25c81909b35d8d138c01b53 completed May 6, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69fba97d26e88190858b71f1db4feed5 completed May 6, 2026, 8:50 p.m.
Created at: April 9, 2026, 10:15 p.m.