Triple

T12386082
Position Surface form Disambiguated ID Type / Status
Subject Kolkata Metropolitan Area E295867 entity
Predicate containsCity P294 FINISHED
Object Kamarhati
Kamarhati is an industrial and residential city in the northern suburbs of Kolkata, West Bengal, India.
E979415 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: Kamarhati | Statement: [Kolkata Metropolitan Area, containsCity, Kamarhati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamarhati
Context triple: [Kolkata Metropolitan Area, containsCity, Kamarhati]
  • A. Gobardanga
    Gobardanga is a town in the Indian state of West Bengal known for its suburban character and connectivity to Kolkata via the Sealdah–Bangaon railway line.
  • B. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • C. Kasarani
    Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
  • D. Naihati
    Naihati is a town in West Bengal, India, known as the birthplace of renowned Bengali novelist and nationalist Bankim Chandra Chattopadhyay.
  • E. Baghmara
    Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife 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: Kamarhati
Triple: [Kolkata Metropolitan Area, containsCity, Kamarhati]
Generated description
Kamarhati is an industrial and residential city in the northern suburbs of Kolkata, West Bengal, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kamarhati
Target entity description: Kamarhati is an industrial and residential city in the northern suburbs of Kolkata, West Bengal, India.
  • A. Gobardanga
    Gobardanga is a town in the Indian state of West Bengal known for its suburban character and connectivity to Kolkata via the Sealdah–Bangaon railway line.
  • B. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • C. Kasarani
    Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
  • D. Naihati
    Naihati is a town in West Bengal, India, known as the birthplace of renowned Bengali novelist and nationalist Bankim Chandra Chattopadhyay.
  • E. Baghmara
    Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac939bc819081629b9eef20c4e7 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62c7b28588190839c35c19856d16f completed May 2, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_69f62e403a308190a2bba3fefc420932 completed May 2, 2026, 5:02 p.m.
Created at: April 8, 2026, 9:54 p.m.