Triple

T22321378
Position Surface form Disambiguated ID Type / Status
Subject Bardhaman district E551794 entity
Predicate contains P35 FINISHED
Object Mankar
Mankar is a town in the Indian state of West Bengal known for its historical temples and rural cultural heritage.
 E1531814 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: Mankar | Statement: [Bardhaman district, contains, Mankar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mankar
Context triple: [Bardhaman district, contains, Mankar]
  • A. Mankanya
    Mankanya is a Senegambian language spoken primarily by the Mankanya people in parts of Senegal, Gambia, and Guinea-Bissau.
  • B. Mankessim
    Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
  • C. Mankatha
    Mankatha is a 2011 Tamil action-thriller film directed by Venkat Prabhu, known for its heist plot and Ajith Kumar’s anti-hero performance.
  • D. Manush
    Manush are a subgroup of the Romani people, traditionally found in Western Europe and known for their distinct cultural and linguistic heritage.
  • E. Manmad
    Manmad is a major railway and commercial town in Maharashtra, India, known as an important junction connecting several key routes in the region.
  • 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: Mankar
Triple: [Bardhaman district, contains, Mankar]
Generated description
Mankar is a town in the Indian state of West Bengal known for its historical temples and rural cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mankar
Target entity description: Mankar is a town in the Indian state of West Bengal known for its historical temples and rural cultural heritage.
  • A. Mankanya
    Mankanya is a Senegambian language spoken primarily by the Mankanya people in parts of Senegal, Gambia, and Guinea-Bissau.
  • B. Mankessim
    Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
  • C. Mankatha
    Mankatha is a 2011 Tamil action-thriller film directed by Venkat Prabhu, known for its heist plot and Ajith Kumar’s anti-hero performance.
  • D. Manush
    Manush are a subgroup of the Romani people, traditionally found in Western Europe and known for their distinct cultural and linguistic heritage.
  • E. Manmad
    Manmad is a major railway and commercial town in Maharashtra, India, known as an important junction connecting several key routes in the region.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15764d3a48190af79ce4642b7f563 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad51a87688190ad638880953172c7 completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad991a1e48190ad240a20694223fc completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0ada2a61b881908a636b2d1d6e4509 completed May 18, 2026, 9:21 a.m.
Created at: April 16, 2026, 8:42 p.m.