Triple

T21545853
Position Surface form Disambiguated ID Type / Status
Subject Malwa region of Madhya Pradesh E531620 entity
Predicate hasMajorCity P316 FINISHED
Object Malhargarh
Malhargarh is a town in the Malwa region of Madhya Pradesh, India, known as a local commercial and agricultural center.
E1496497 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: Malhargarh | Statement: [Malwa region of Madhya Pradesh, hasMajorCity, Malhargarh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malhargarh
Context triple: [Malwa region of Madhya Pradesh, hasMajorCity, Malhargarh]
  • A. Mukandgarh
    Mukandgarh is a town in the Jhunjhunu district of Rajasthan, India, known for its historic havelis and traditional Rajasthani architecture.
  • B. Bhopalgarh
    Bhopalgarh is a town in the Indian state of Rajasthan, known for its rural setting and administrative role within the region.
  • C. Sardulgarh
    Sardulgarh is a town in the Mansa district of Punjab, India, known for its agricultural economy and location near the Punjab–Haryana border.
  • D. Mahendragarh
    Mahendragarh is a town and district headquarters in the northern Indian state of Haryana.
  • E. Anupgarh
    Anupgarh is a town in the Ganganagar district of Rajasthan, India, known for its agricultural surroundings and proximity to the India–Pakistan border.
  • 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: Malhargarh
Triple: [Malwa region of Madhya Pradesh, hasMajorCity, Malhargarh]
Generated description
Malhargarh is a town in the Malwa region of Madhya Pradesh, India, known as a local commercial and agricultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Malhargarh
Target entity description: Malhargarh is a town in the Malwa region of Madhya Pradesh, India, known as a local commercial and agricultural center.
  • A. Mukandgarh
    Mukandgarh is a town in the Jhunjhunu district of Rajasthan, India, known for its historic havelis and traditional Rajasthani architecture.
  • B. Bhopalgarh
    Bhopalgarh is a town in the Indian state of Rajasthan, known for its rural setting and administrative role within the region.
  • C. Sardulgarh
    Sardulgarh is a town in the Mansa district of Punjab, India, known for its agricultural economy and location near the Punjab–Haryana border.
  • D. Mahendragarh
    Mahendragarh is a town and district headquarters in the northern Indian state of Haryana.
  • E. Anupgarh
    Anupgarh is a town in the Ganganagar district of Rajasthan, India, known for its agricultural surroundings and proximity to the India–Pakistan border.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58ef2548190a81ff51baba76e48 completed April 27, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1e04258c819098f7254a63a7c0c3 completed May 17, 2026, 7:59 p.m.
NEDg Description generation batch_6a0a1eac9b648190881c97d474762fc0 completed May 17, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1f3b77488190bfb73b9e83446bb3 completed May 17, 2026, 8:04 p.m.
Created at: April 16, 2026, 6:28 p.m.