Triple

T3687947
Position Surface form Disambiguated ID Type / Status
Subject Kheda district E78270 entity
Predicate hasCity P316 FINISHED
Object Kheda E78270 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: Kheda | Statement: [Kheda district, hasCity, Kheda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kheda
Context triple: [Kheda district, hasCity, Kheda]
  • A. Marvadi
    Marvadi is an alternative name for the Marwari people and their Indo-Aryan language traditionally associated with the Marwar region of Rajasthan, India.
  • B. Junagadh
    Junagadh is a historic city in western India known for its ancient fort, Buddhist caves, and proximity to the Girnar hills and Gir National Park.
  • C. Jhabua
    Jhabua is a town and administrative district headquarters in western Madhya Pradesh, India, known for its significant tribal population and culture.
  • D. Kheda district chosen
    Kheda district is an administrative region in the Indian state of Gujarat, historically notable as the site of Mahatma Gandhi’s 1918 Kheda Satyagraha peasant movement.
  • E. Khandwa
    Khandwa is a city in central India known as a regional commercial and cultural center in the state of 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c960788190b73ede08658846aa completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdeb6c288190a52e81fcbeaeec6d completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:26 p.m.