Triple

T21545846
Position Surface form Disambiguated ID Type / Status
Subject Malwa region of Madhya Pradesh E531620 entity
Predicate hasMajorCity P316 FINISHED
Object Kannod 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: Kannod | Statement: [Malwa region of Madhya Pradesh, hasMajorCity, Kannod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kannod
Context triple: [Malwa region of Madhya Pradesh, hasMajorCity, Kannod]
  • A. Kannod chosen
    Kannod is a town in the Indian state of Madhya Pradesh, situated within the administrative boundaries of Dewas district.
  • B. Kandha
    The Kandha are an indigenous tribal community of eastern India, primarily in Odisha, known for their distinct language, traditional agrarian lifestyle, and rich ritual and festival practices.
  • C. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • D. Kandava
    Kandava is a small historic town in western Latvia known for its scenic location in the Kurzeme region and well-preserved old town architecture.
  • E. Kandas
    Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58ef2548190a81ff51baba76e48 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.