Triple

T10084246
Position Surface form Disambiguated ID Type / Status
Subject Rampur district E215178 entity
Predicate hasTown P847 FINISHED
Object Bilaspur
Bilaspur is a town in the Rampur district of Uttar Pradesh, India, known as a local commercial and administrative center for surrounding rural areas.
 E844614 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: Bilaspur | Statement: [Rampur district, hasTown, Bilaspur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bilaspur
Context triple: [Rampur district, hasTown, Bilaspur]
  • A. Bilaspur
    Bilaspur is a major city in the Indian state of Chhattisgarh, known as an important administrative, commercial, and judicial center.
  • B. Bilaspur
    Bilaspur is a town in the Yamunanagar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
  • C. Bilaspuri
    Bilaspuri is an Indo-Aryan language spoken primarily in the Bilaspur region of Himachal Pradesh in northern India.
  • D. Hamirpur
    Hamirpur is a town and district headquarters in the Bundelkhand region of Uttar Pradesh, India, known for its location near the confluence of the Yamuna and Betwa rivers.
  • E. Jagdalpur
    Jagdalpur is a city in the Bastar district of Chhattisgarh, India, known for its tribal culture, dense forests, and proximity to major waterfalls and national parks.
  • 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: Bilaspur
Triple: [Rampur district, hasTown, Bilaspur]
Generated description
Bilaspur is a town in the Rampur district of Uttar Pradesh, India, known as a local commercial and administrative center for surrounding rural areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bilaspur
Target entity description: Bilaspur is a town in the Rampur district of Uttar Pradesh, India, known as a local commercial and administrative center for surrounding rural areas.
  • A. Bilaspur
    Bilaspur is a major city in the Indian state of Chhattisgarh, known as an important administrative, commercial, and judicial center.
  • B. Bilaspur
    Bilaspur is a town in the Yamunanagar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
  • C. Bilaspuri
    Bilaspuri is an Indo-Aryan language spoken primarily in the Bilaspur region of Himachal Pradesh in northern India.
  • D. Hamirpur
    Hamirpur is a town and district headquarters in the Bundelkhand region of Uttar Pradesh, India, known for its location near the confluence of the Yamuna and Betwa rivers.
  • E. Jagdalpur
    Jagdalpur is a city in the Bastar district of Chhattisgarh, India, known for its tribal culture, dense forests, and proximity to major waterfalls and national parks.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd044c1ec8190b5b48cdb0584d00c completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e583ec2c819086429bd6d323d780 completed April 5, 2026, 10:43 p.m.
NEDg Description generation batch_69d2e8bdbc208190b45efbb51d38087c completed April 5, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69d2e91061248190a7f9022c26daba0e completed April 5, 2026, 10:58 p.m.
Created at: March 30, 2026, 9 p.m.