Triple

T22250996
Position Surface form Disambiguated ID Type / Status
Subject Ratlam Municipal Corporation E549977 entity
Predicate locatedIn P40 FINISHED
Object Ratlam 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: Ratlam | Statement: [Ratlam Municipal Corporation, locatedIn, Ratlam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratlam
Context triple: [Ratlam Municipal Corporation, locatedIn, Ratlam]
  • A. Ratlam chosen
    Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
  • B. Bhusawal
    Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
  • C. Bhiwadi
    Bhiwadi is an industrial town in the Indian state of Rajasthan that forms part of the extended urban and economic area around Delhi.
  • D. Bhilsa
    Bhilsa is a historical town in the Vidisha district of Madhya Pradesh, India, known for its ancient Buddhist and Hindu archaeological sites.
  • E. Ralegan Siddhi
    Ralegan Siddhi is a village in Maharashtra, India, renowned as a model of rural development and watershed management largely inspired by the work of social activist Anna Hazare.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138befa208190877760dec1896740 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.