Triple

T10606171
Position Surface form Disambiguated ID Type / Status
Subject Omkareshwar Island E275881 entity
Predicate nearbyCity P350 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: [Omkareshwar Island, nearbyCity, Indore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indore
Context triple: [Omkareshwar Island, nearbyCity, 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4a5df88190b993196ca7849a88 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69de222baab081908e2e2b18f656dedb completed April 14, 2026, 11:16 a.m.
Created at: April 8, 2026, 7:32 p.m.