Triple

T22376389
Position Surface form Disambiguated ID Type / Status
Subject Ganjam district E553160 entity
Predicate hasTown P847 FINISHED
Object Bhanjanagar
Bhanjanagar is a town in the Indian state of Odisha known for its administrative importance and proximity to scenic reservoirs and forests.
 E1539207 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: Bhanjanagar | Statement: [Ganjam district, hasTown, Bhanjanagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bhanjanagar
Context triple: [Ganjam district, hasTown, Bhanjanagar]
  • A. Bhagnagar
    Bhagnagar is an alternative historical name associated with the Indian city of Hyderabad.
  • B. Bhagyanagar
    Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
  • C. Burhanpur
    Burhanpur is a historic city in central India known for its Mughal-era architecture and strategic location on the banks of the Tapti River.
  • D. Berhampur
    Berhampur is a major commercial and educational city in the Indian state of Odisha, known especially for its trade, textiles, and proximity to the Gopalpur-on-Sea beach.
  • E. Diglipur
    Diglipur is a northern town in India's Andaman and Nicobar Islands known as a key regional hub and gateway to nearby natural attractions such as Saddle Peak and Ross and Smith Islands.
  • 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: Bhanjanagar
Triple: [Ganjam district, hasTown, Bhanjanagar]
Generated description
Bhanjanagar is a town in the Indian state of Odisha known for its administrative importance and proximity to scenic reservoirs and forests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bhanjanagar
Target entity description: Bhanjanagar is a town in the Indian state of Odisha known for its administrative importance and proximity to scenic reservoirs and forests.
  • A. Bhagnagar
    Bhagnagar is an alternative historical name associated with the Indian city of Hyderabad.
  • B. Bhagyanagar
    Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
  • C. Burhanpur
    Burhanpur is a historic city in central India known for its Mughal-era architecture and strategic location on the banks of the Tapti River.
  • D. Berhampur
    Berhampur is a major commercial and educational city in the Indian state of Odisha, known especially for its trade, textiles, and proximity to the Gopalpur-on-Sea beach.
  • E. Diglipur
    Diglipur is a northern town in India's Andaman and Nicobar Islands known as a key regional hub and gateway to nearby natural attractions such as Saddle Peak and Ross and Smith Islands.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158285d208190bc7d05d315267995 completed April 29, 2026, 1 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b124648bc8190aba8ac06be8d34f1 completed May 18, 2026, 1:21 p.m.
NEDg Description generation batch_6a0b14b7acac819090bfd6144df84be6 completed May 18, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a0b154f7e0c8190b0ca64d582982d62 completed May 18, 2026, 1:34 p.m.
Created at: April 16, 2026, 8:45 p.m.