Triple

T2197806
Position Surface form Disambiguated ID Type / Status
Subject Madhubani district E50415 entity
Predicate hasTown P847 FINISHED
Object Phulparas
Phulparas is a town in the Madhubani district of Bihar, India, known for its role as a local administrative and market center in the region.
 E242618 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: Phulparas | Statement: [Madhubani district, hasTown, Phulparas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Phulparas
Context triple: [Madhubani district, hasTown, Phulparas]
  • A. Parushni
    Parushni is the ancient Vedic name for the Ravi River, one of the major rivers of the northwestern Indian subcontinent.
  • B. Palas
    Palas is the main residential and ceremonial building within Nuremberg Castle, historically used as the living quarters and audience hall of the ruling nobility.
  • C. Pranhita
    Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
  • D. Rattanbai
    Rattanbai was the wife of Muhammad Ali Jinnah, the founder of Pakistan, and the mother of their only child, Dina Wadia.
  • E. Bimala
    Bimala is the central female protagonist and introspective narrator of Rabindranath Tagore’s novel "The Home and the World," whose personal awakening unfolds amid political and emotional turmoil.
  • 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: Phulparas
Triple: [Madhubani district, hasTown, Phulparas]
Generated description
Phulparas is a town in the Madhubani district of Bihar, India, known for its role as a local administrative and market center in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Phulparas
Target entity description: Phulparas is a town in the Madhubani district of Bihar, India, known for its role as a local administrative and market center in the region.
  • A. Parushni
    Parushni is the ancient Vedic name for the Ravi River, one of the major rivers of the northwestern Indian subcontinent.
  • B. Palas
    Palas is the main residential and ceremonial building within Nuremberg Castle, historically used as the living quarters and audience hall of the ruling nobility.
  • C. Pranhita
    Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
  • D. Rattanbai
    Rattanbai was the wife of Muhammad Ali Jinnah, the founder of Pakistan, and the mother of their only child, Dina Wadia.
  • E. Bimala
    Bimala is the central female protagonist and introspective narrator of Rabindranath Tagore’s novel "The Home and the World," whose personal awakening unfolds amid political and emotional turmoil.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf79f3e08190b56e9d7c0ff27237 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db9b0208190a63a75c86ea9dcff completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae5e866d108190b39853172d1ed1a6 completed March 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae5edfe80481908c3304c917c9065b completed March 9, 2026, 5:47 a.m.
Created at: March 4, 2026, 7:46 p.m.