Triple

T13804182
Position Surface form Disambiguated ID Type / Status
Subject Ghazipur E331718 entity
Predicate partOf P40 FINISHED
Object Varanasi division E568373 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: Varanasi division | Statement: [Ghazipur, partOf, Varanasi division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varanasi division
Context triple: [Ghazipur, partOf, Varanasi division]
  • A. Varanasi division chosen
    Varanasi division is an administrative division in the Indian state of Uttar Pradesh, centered around the historic city of Varanasi and comprising several surrounding districts.
  • B. Varanasi South
    Varanasi South is a legislative assembly constituency in Uttar Pradesh, India, forming part of the Varanasi parliamentary seat and representing a key urban segment of the historic city.
  • C. Varanasi district
    Varanasi district is an administrative region in the Indian state of Uttar Pradesh that encompasses the ancient and sacred city of Varanasi (Kashi), a major center of Hindu pilgrimage, culture, and learning.
  • D. Varanasi North
    Varanasi North is a legislative assembly constituency in the northern part of Varanasi city in Uttar Pradesh, India.
  • E. Ayodhya division
    Ayodhya division is an administrative division in the Indian state of Uttar Pradesh, with Ayodhya city serving as its headquarters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8da594c81908cb878a8cc1b3a72 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.