Triple

T21999010
Position Surface form Disambiguated ID Type / Status
Subject Mayurbhanj district E543276 entity
Predicate hasHeadquarters P62 FINISHED
Object Baripada NE NERFINISHED

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: Baripada | Statement: [Mayurbhanj district, hasHeadquarters, Baripada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baripada
Context triple: [Mayurbhanj district, hasHeadquarters, Baripada]
  • A. Baripada chosen
    Baripada is a prominent town and district headquarters in the Mayurbhanj district of Odisha, India, known for its cultural heritage and proximity to the Simlipal National Park.
  • B. Sipajhar
    Sipajhar is a town and administrative center in the Indian state of Assam, known for its role as a local hub within Darrang district.
  • C. Basirhat
    Basirhat is a town in the North 24 Parganas district of West Bengal, India, known as a regional administrative and commercial center near the India–Bangladesh border.
  • D. Barpeta
    Barpeta is a town in the Indian state of Assam known for its historical Barpeta Satra and cultural significance in the Vaishnavite tradition.
  • E. Naogaon
    Naogaon is a town in northwestern Bangladesh known as the administrative and commercial center of Naogaon District, situated within the Rajshahi Division.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12768c0088190b0c8d5cd9b7bf710 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.