Triple

T2197813
Position Surface form Disambiguated ID Type / Status
Subject Madhubani district E50415 entity
Predicate hasTown P847 FINISHED
Object Basopatti
Basopatti is a town located in the Madhubani district of the Indian state of Bihar.
E244429 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: Basopatti | Statement: [Madhubani district, hasTown, Basopatti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basopatti
Context triple: [Madhubani district, hasTown, Basopatti]
  • A. Benipatti
    Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
  • B. Pitripati
    Pitripati is an epithet of the Hindu god Yama, revered as the lord and protector of departed ancestors and the realm of the dead.
  • C. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Kathiawari
    Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
  • E. Kanchrapara
    Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
  • 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: Basopatti
Triple: [Madhubani district, hasTown, Basopatti]
Generated description
Basopatti is a town located in the Madhubani district of the Indian state of Bihar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Basopatti
Target entity description: Basopatti is a town located in the Madhubani district of the Indian state of Bihar.
  • A. Benipatti
    Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
  • B. Pitripati
    Pitripati is an epithet of the Hindu god Yama, revered as the lord and protector of departed ancestors and the realm of the dead.
  • C. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Kathiawari
    Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
  • E. Kanchrapara
    Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
  • 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_69ae6544c000819095aa63be5b1ed4d6 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae66411d848190a529018ad3765597 completed March 9, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69ae66a751f881908fda164de72dac9b completed March 9, 2026, 6:20 a.m.
Created at: March 4, 2026, 7:46 p.m.