Triple

T13559456
Position Surface form Disambiguated ID Type / Status
Subject Malwa cuisine E323865 entity
Predicate associatedCity P3207 FINISHED
Object Indore E161252 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: Indore | Statement: [Malwa cuisine, associatedCity, Indore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indore
Context triple: [Malwa cuisine, associatedCity, Indore]
  • A. Indore chosen
    Indore is a major commercial and educational hub in central India, known for its vibrant markets, food culture, and rapidly growing urban infrastructure.
  • B. Gwalior
    Gwalior is a historic city in the Indian state of Madhya Pradesh, renowned for its hilltop fort, rich royal heritage, and cultural significance.
  • C. Jabalpur
    Jabalpur is a major city in the central Indian state of Madhya Pradesh, known for its industrial base, educational institutions, and nearby marble rock formations along the Narmada River.
  • D. Vadodara
    Vadodara is a major city in western India known for its rich cultural heritage, educational institutions, and industrial development.
  • E. Nagpur
    Nagpur is a major city in the Indian state of Maharashtra, known as a key political and commercial center and often referred to as the "Orange City" for its famous orange production.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff4223c8190801d153ae8f94c73 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05c844c8190bb4b72d2400a6355 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:47 p.m.