Triple

T36023330
Position Surface form Disambiguated ID Type / Status
Subject West Singhbhum district E1042050 entity
Predicate legislativeConstituency P9598 FINISHED
Object Majhgaon Assembly constituency
Majhgaon Assembly constituency is a legislative assembly segment in the Indian state of Jharkhand, representing part of the West Singhbhum district in the state legislature.
E2165628 NE FINISHED

How this triple was built (2 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: Majhgaon Assembly constituency | Statement: [West Singhbhum district, legislativeConstituency, Majhgaon Assembly constituency]
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: Majhgaon Assembly constituency
Triple: [West Singhbhum district, legislativeConstituency, Majhgaon Assembly constituency]
Generated description
Majhgaon Assembly constituency is a legislative assembly segment in the Indian state of Jharkhand, representing part of the West Singhbhum district in the state legislature.

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_69f76e2c568881909e1e21f85252b0f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ace4902c8190b4f60da85030a47e completed May 3, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38c002095c819089d809bd3272386a completed June 22, 2026, 4:54 a.m.
NEDg Description generation batch_6a38c0a93ce881908c7f774b519e5247 completed June 22, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a38c146238481909a2d82cd040468f6 completed June 22, 2026, 4:59 a.m.
Created at: May 3, 2026, 4:07 p.m.