Triple

T19254817
Position Surface form Disambiguated ID Type / Status
Subject Bagelkhand E481487 entity
Predicate majorCity P316 FINISHED
Object Sidhi 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: Sidhi | Statement: [Bagelkhand, majorCity, Sidhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidhi
Context triple: [Bagelkhand, majorCity, Sidhi]
  • A. Sidhi chosen
    Sidhi is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its nearby coal mining areas and natural resources.
  • B. Sidhauli
    Sidhauli is a town and municipal body in the Sitapur district of Uttar Pradesh, India, known as a local administrative and commercial center for surrounding rural areas.
  • C. Bhilodi
    Bhilodi is an alternative name for Bhili, an Indo-Aryan language spoken primarily by the Bhil people of western and central India.
  • D. Bohali
    Bohali is a scenic hilltop village on the Greek island of Zakynthos, known for its panoramic views over the main town and its Venetian-era castle ruins.
  • E. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3459d08190a7c28ed3f8c82a97 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:28 p.m.