Triple

T961738
Position Surface form Disambiguated ID Type / Status
Subject Central India E20748 entity
Predicate containsCity P294 FINISHED
Object Katni E102807 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: Katni | Statement: [Central India, containsCity, Katni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katni
Context triple: [Central India, containsCity, Katni]
  • A. Katni chosen
    Katni is an industrial city in central India known for its cement factories, railway junction, and marble and limestone mining.
  • B. District 12
    District 12 is a regional division of Caltrans responsible for planning, constructing, and maintaining the state highway system in Orange County, California.
  • C. Jandali
    Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • D. Qi'ra
    Qi'ra is a central character in the Star Wars universe, known as Han Solo’s enigmatic former love interest who rises to power in the criminal underworld.
  • E. Val-Kill
    Val-Kill is the Hyde Park, New York retreat that served as Eleanor Roosevelt’s personal home and later became a national historic site honoring her life and work.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b415ac688190bbcef455935a3116 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a3f8c481908f9ed37c44788cb7 completed March 7, 2026, 11:53 a.m.
Created at: March 1, 2026, 7:40 p.m.