Triple

T10786484
Position Surface form Disambiguated ID Type / Status
Subject Sheohar district E254463 entity
Predicate headquarters P62 FINISHED
Object Sheohar
Sheohar is a town in the Indian state of Bihar that serves as an administrative and commercial center for the surrounding rural region.
 E887223 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: Sheohar | Statement: [Sheohar district, headquarters, Sheohar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sheohar
Context triple: [Sheohar district, headquarters, Sheohar]
  • A. Rithala
    Rithala is a metro station in Delhi, India, serving as the northern endpoint of the Delhi Metro’s Red Line and a key transit hub for the surrounding residential and commercial areas.
  • B. Randhawa
    Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
  • C. Duhshala
    Duhshala is the only daughter of King Dhritarashtra and Queen Gandhari in the Indian epic Mahabharata, known for her marriage to Jayadratha.
  • D. Barnala
    Barnala is a city in the Malwa region of Punjab, India, known as an administrative and commercial center for the surrounding agricultural area.
  • E. Barwala
    Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
  • 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: Sheohar
Triple: [Sheohar district, headquarters, Sheohar]
Generated description
Sheohar is a town in the Indian state of Bihar that serves as an administrative and commercial center for the surrounding rural region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sheohar
Target entity description: Sheohar is a town in the Indian state of Bihar that serves as an administrative and commercial center for the surrounding rural region.
  • A. Rithala
    Rithala is a metro station in Delhi, India, serving as the northern endpoint of the Delhi Metro’s Red Line and a key transit hub for the surrounding residential and commercial areas.
  • B. Randhawa
    Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
  • C. Duhshala
    Duhshala is the only daughter of King Dhritarashtra and Queen Gandhari in the Indian epic Mahabharata, known for her marriage to Jayadratha.
  • D. Barnala
    Barnala is a city in the Malwa region of Punjab, India, known as an administrative and commercial center for the surrounding agricultural area.
  • E. Barwala
    Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d5422481908d7ab833c6cbc879 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84ddd6f48190a11eae9233d3ef9f completed April 14, 2026, 6:18 p.m.
NEDg Description generation batch_69de8954500c81909b57c4f8007959aa completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8f38e3048190b1acc81bb56fe165 completed April 14, 2026, 7:02 p.m.
Created at: April 8, 2026, 9:17 p.m.