Triple

T14787881
Position Surface form Disambiguated ID Type / Status
Subject Sitapur district E347574 entity
Predicate hasMunicipality P847 FINISHED
Object Biswan
Biswan is a town and municipal body in the Sitapur district of Uttar Pradesh, India, known for its local markets and surrounding agricultural areas.
E1119824 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: Biswan | Statement: [Sitapur district, hasMunicipality, Biswan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biswan
Context triple: [Sitapur district, hasMunicipality, Biswan]
  • A. Bhatarka
    Bhatarka was an early Indian ruler who founded the Maitraka dynasty, establishing its power base in the region of present-day Gujarat.
  • B. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • C. Birpur
    Birpur is a town in the Supaul district of Bihar, India, situated near the Kosi River and known for its proximity to the major Kosi Barrage.
  • D. Bipindi
    Bipindi is a small town located in the South Region of Cameroon, known primarily as a local administrative and trading center.
  • E. Debjan
    Debjan is a Bengali literary work by renowned author Bibhutibhushan Bandyopadhyay.
  • 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: Biswan
Triple: [Sitapur district, hasMunicipality, Biswan]
Generated description
Biswan is a town and municipal body in the Sitapur district of Uttar Pradesh, India, known for its local markets and surrounding agricultural areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Biswan
Target entity description: Biswan is a town and municipal body in the Sitapur district of Uttar Pradesh, India, known for its local markets and surrounding agricultural areas.
  • A. Bhatarka
    Bhatarka was an early Indian ruler who founded the Maitraka dynasty, establishing its power base in the region of present-day Gujarat.
  • B. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • C. Birpur
    Birpur is a town in the Supaul district of Bihar, India, situated near the Kosi River and known for its proximity to the major Kosi Barrage.
  • D. Bipindi
    Bipindi is a small town located in the South Region of Cameroon, known primarily as a local administrative and trading center.
  • E. Debjan
    Debjan is a Bengali literary work by renowned author Bibhutibhushan Bandyopadhyay.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b9e8a08190bc736ac207b77324 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe266a05308190b9f6adba3e635e2f completed May 8, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe26f8fb7881909892c381b16fc80a completed May 8, 2026, 6:10 p.m.
Created at: April 10, 2026, 1:31 a.m.