Triple

T1418189
Position Surface form Disambiguated ID Type / Status
Subject West Bengal E31965 entity
Predicate containsTown P847 FINISHED
Object Titagarh
Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
E165051 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: Titagarh | Statement: [West Bengal, containsTown, Titagarh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Titagarh
Context triple: [West Bengal, containsTown, Titagarh]
  • A. Mount Abu plateau
    Mount Abu plateau is a highland region in western India known for its cool climate, scenic landscapes, and the hill station of Mount Abu.
  • B. Baghat
    Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
  • C. Dila Gori
    Dila Gori is a professional football club based in Gori, Georgia, competing in the country’s top-tier league.
  • D. Manali
    Manali is a popular hill station and tourist town in the Indian state of Himachal Pradesh, known for its scenic Himalayan landscapes, adventure sports, and cool climate.
  • E. Girnar
    Girnar is a prominent hill range in Gujarat, India, renowned as a major pilgrimage site for both Jains and Hindus and a popular destination for trekking and religious tourism.
  • 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: Titagarh
Triple: [West Bengal, containsTown, Titagarh]
Generated description
Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Titagarh
Target entity description: Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
  • A. Mount Abu plateau
    Mount Abu plateau is a highland region in western India known for its cool climate, scenic landscapes, and the hill station of Mount Abu.
  • B. Baghat
    Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
  • C. Dila Gori
    Dila Gori is a professional football club based in Gori, Georgia, competing in the country’s top-tier league.
  • D. Manali
    Manali is a popular hill station and tourist town in the Indian state of Himachal Pradesh, known for its scenic Himalayan landscapes, adventure sports, and cool climate.
  • E. Girnar
    Girnar is a prominent hill range in Gujarat, India, renowned as a major pilgrimage site for both Jains and Hindus and a popular destination for trekking and religious tourism.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c404e92c8190bd018673383f4534 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08b09c948190a5ec17021299049e completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad098f9fd0819094d9478881ca1a46 completed March 8, 2026, 5:30 a.m.
NED2 Entity disambiguation (via description) batch_69ad0a6c7aa08190b21b00c03f04af27 completed March 8, 2026, 5:34 a.m.
Created at: March 1, 2026, 7:59 p.m.