Triple

T8601009
Position Surface form Disambiguated ID Type / Status
Subject Belagavi district E203672 entity
Predicate containsTown P847 FINISHED
Object Ramdurg
Ramdurg is a town in the Indian state of Karnataka, known for its historical temples and its location within the Belagavi region.
E746617 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: Ramdurg | Statement: [Belagavi district, containsTown, Ramdurg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramdurg
Context triple: [Belagavi district, containsTown, Ramdurg]
  • A. Dantapura
    Dantapura was an ancient city traditionally identified as the royal and administrative center of the Kalinga kingdom in eastern India.
  • B. Tuljapur
    Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
  • C. Jagadhri
    Jagadhri is a city in the Indian state of Haryana, known historically for its metal and brass industries and forming a twin city with Yamunanagar.
  • D. Deoli
    Deoli is a town in the Indian state of Maharashtra, situated within the Wardha district and known for its agricultural surroundings and local trade.
  • E. Maheshwar
    Maheshwar is a historic temple town on the banks of the Narmada River in Madhya Pradesh, India, renowned for its ghats, fort, and traditional handwoven Maheshwari sarees.
  • 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: Ramdurg
Triple: [Belagavi district, containsTown, Ramdurg]
Generated description
Ramdurg is a town in the Indian state of Karnataka, known for its historical temples and its location within the Belagavi region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ramdurg
Target entity description: Ramdurg is a town in the Indian state of Karnataka, known for its historical temples and its location within the Belagavi region.
  • A. Dantapura
    Dantapura was an ancient city traditionally identified as the royal and administrative center of the Kalinga kingdom in eastern India.
  • B. Tuljapur
    Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
  • C. Jagadhri
    Jagadhri is a city in the Indian state of Haryana, known historically for its metal and brass industries and forming a twin city with Yamunanagar.
  • D. Deoli
    Deoli is a town in the Indian state of Maharashtra, situated within the Wardha district and known for its agricultural surroundings and local trade.
  • E. Maheshwar
    Maheshwar is a historic temple town on the banks of the Narmada River in Madhya Pradesh, India, renowned for its ghats, fort, and traditional handwoven Maheshwari sarees.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d8ff408190acc7cd8dc99b2689 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbb11140819081bde8a1565aad4a completed April 2, 2026, 6:55 p.m.
NEDg Description generation batch_69cebda8e7f4819083b6885f874554f1 completed April 2, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69cebe5df4888190bf741e332af3e21e completed April 2, 2026, 7:07 p.m.
Created at: March 30, 2026, 6:24 p.m.