Triple

T3512183
Position Surface form Disambiguated ID Type / Status
Subject Nadiad E74220 entity
Predicate hasNearbyCity P350 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: [Nadiad, hasNearbyCity, Kheda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kheda
Context triple: [Nadiad, hasNearbyCity, 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc10b6b48190bedfed6d34afc425 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7366e4819099b4a411343bdd90 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.