Triple

T4809624
Position Surface form Disambiguated ID Type / Status
Subject Sagar E107035 entity
Predicate isPartOf P10 FINISHED
Object Sagar division E107035 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: Sagar division | Statement: [Sagar, isPartOf, Sagar division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sagar division
Context triple: [Sagar, isPartOf, Sagar division]
  • A. Mahisagar district
    Mahisagar district is an administrative district in the state of Gujarat, India, known for being carved out of parts of Kheda and Panchmahal districts and named after the Mahi River.
  • B. Benares Division
    Benares Division was an administrative division centered around the historic city of Benares (Varanasi) in British India’s North-Western Provinces.
  • C. Kohat Division
    Kohat Division is an administrative division in Pakistan’s Khyber Pakhtunkhwa province, comprising several districts in the country’s northwest.
  • D. Allahabad Division
    Allahabad Division was an administrative subdivision centered on the city of Allahabad within British India’s North-Western Provinces.
  • E. Sagar chosen
    Sagar is a prominent city in central India known for its educational institutions, historical significance, and role as an administrative and commercial hub in Madhya Pradesh.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c6c70a88190aa287fc78716c225 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4daa52ec8190a3243313b18a4f3d completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:23 p.m.