Triple

T8526657
Position Surface form Disambiguated ID Type / Status
Subject Udaipur State E201834 entity
Predicate hasCity P316 FINISHED
Object Banswara E228625 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: Banswara | Statement: [Udaipur State, hasCity, Banswara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banswara
Context triple: [Udaipur State, hasCity, Banswara]
  • A. Jalore
    Jalore is a historic town and district headquarters in the Indian state of Rajasthan, known for its ancient fort and role in the Marwar region’s history.
  • B. Banswara State chosen
    Banswara State was a princely state in what is now Rajasthan, India, historically ruled by Rajput chiefs and later integrated into the Indian Union after independence.
  • C. Karauli
    Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
  • D. Jhalawar
    Jhalawar is a town and administrative district headquarters in southeastern Rajasthan, India, known for its historic forts, temples, and rich Hadoti cultural heritage.
  • E. Dindori
    Dindori is a town and administrative center in the central Indian state of Madhya Pradesh, known for its surrounding forests, tribal communities, and proximity to natural and cultural heritage sites.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6463fe48190b6d3482212356be1 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88f750cc819093c8902b2c285153 completed April 2, 2026, 3:19 p.m.
Created at: March 30, 2026, 6:16 p.m.