Triple

T11202104
Position Surface form Disambiguated ID Type / Status
Subject Baksa district E265065 entity
Predicate headquarters P62 FINISHED
Object Mushalpur
Mushalpur is a small town in the Indian state of Assam that serves as an administrative and commercial center for the surrounding rural region.
 E912401 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: Mushalpur | Statement: [Baksa district, headquarters, Mushalpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mushalpur
Context triple: [Baksa district, headquarters, Mushalpur]
  • A. Karanpur
    Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
  • B. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • C. Hasilpur
    Hasilpur is a city in the Bahawalpur District of southern Punjab, Pakistan, known as a regional commercial and agricultural center.
  • D. Kohalpur
    Kohalpur is a growing commercial and transportation hub town in southwestern Nepal, known for its strategic location on the East–West Highway.
  • E. Bhatapara
    Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
  • 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: Mushalpur
Triple: [Baksa district, headquarters, Mushalpur]
Generated description
Mushalpur is a small town in the Indian state of Assam 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: Mushalpur
Target entity description: Mushalpur is a small town in the Indian state of Assam that serves as an administrative and commercial center for the surrounding rural region.
  • A. Karanpur
    Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
  • B. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • C. Hasilpur
    Hasilpur is a city in the Bahawalpur District of southern Punjab, Pakistan, known as a regional commercial and agricultural center.
  • D. Kohalpur
    Kohalpur is a growing commercial and transportation hub town in southwestern Nepal, known for its strategic location on the East–West Highway.
  • E. Bhatapara
    Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c36c188190bfa4d5f8e6cbbbea completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad0984e08190af9c8263cc2a079d completed April 19, 2026, 10:23 a.m.
NEDg Description generation batch_69e4b12c04e48190ad7546d556a5109f completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4b2949c7c8190820b7f1f87e00602 completed April 19, 2026, 10:46 a.m.
Created at: April 8, 2026, 9:29 p.m.