Triple

T13661683
Position Surface form Disambiguated ID Type / Status
Subject Sultanpur district E327012 entity
Predicate hasTown P847 FINISHED
Object Kurebhar
Kurebhar is a town located in the Sultanpur district of the Indian state of Uttar Pradesh.
E1053959 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: Kurebhar | Statement: [Sultanpur district, hasTown, Kurebhar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurebhar
Context triple: [Sultanpur district, hasTown, Kurebhar]
  • A. Kuresa
    Kuresa, also known by the honorific Koorathazhwan, was a prominent 11th-century Sri Vaishnava scholar and chief disciple of the theologian Ramanuja.
  • B. Barakude
    Barakude is the nickname of the Croatia men's national basketball team, reflecting their aggressive and dynamic style of play.
  • C. Kurubarabulu
    Kurubarabulu was an Aboriginal woman of the Eora people known primarily as the wife of the Sydney Aboriginal leader Bennelong during the early period of British colonisation in Australia.
  • D. Kur
    Kur is the ancient Mesopotamian underworld, a dark subterranean realm of the dead ruled by the goddess Ereshkigal.
  • E. Nakurbabu
    Nakurbabu is a recurring, comically timid and superstitious companion of Professor Shonku in Satyajit Ray’s Bengali science fiction stories.
  • 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: Kurebhar
Triple: [Sultanpur district, hasTown, Kurebhar]
Generated description
Kurebhar is a town located in the Sultanpur district of the Indian state of Uttar Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kurebhar
Target entity description: Kurebhar is a town located in the Sultanpur district of the Indian state of Uttar Pradesh.
  • A. Kuresa
    Kuresa, also known by the honorific Koorathazhwan, was a prominent 11th-century Sri Vaishnava scholar and chief disciple of the theologian Ramanuja.
  • B. Barakude
    Barakude is the nickname of the Croatia men's national basketball team, reflecting their aggressive and dynamic style of play.
  • C. Kurubarabulu
    Kurubarabulu was an Aboriginal woman of the Eora people known primarily as the wife of the Sydney Aboriginal leader Bennelong during the early period of British colonisation in Australia.
  • D. Kur
    Kur is the ancient Mesopotamian underworld, a dark subterranean realm of the dead ruled by the goddess Ereshkigal.
  • E. Nakurbabu
    Nakurbabu is a recurring, comically timid and superstitious companion of Professor Shonku in Satyajit Ray’s Bengali science fiction stories.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc620df208190afaccf3ddd10aa60 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b08d27c8190badc612c26423c0e completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78fd0d29481908bd44bda28e3b2c1 completed May 3, 2026, 6:11 p.m.
NED2 Entity disambiguation (via description) batch_69f7908d92e08190918525c59cb37b55 completed May 3, 2026, 6:14 p.m.
Created at: April 9, 2026, 9:52 p.m.