Triple

T4940648
Position Surface form Disambiguated ID Type / Status
Subject Bhopal State E110922 entity
Predicate successor P78 FINISHED
Object Bhopal (state of India) E155357 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: Bhopal (state of India) | Statement: [Bhopal State, successor, Bhopal (state of India)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhopal (state of India)
Context triple: [Bhopal State, successor, Bhopal (state of India)]
  • A. Bhopal chosen
    Bhopal is the capital city of the Indian state of Madhya Pradesh, known for its historic lakes, administrative importance, and the site of the 1984 industrial disaster.
  • B. Indore
    Indore is a major commercial and educational hub in central India, known for its vibrant markets, food culture, and rapidly growing urban infrastructure.
  • C. Gwalior
    Gwalior is a historic city in the Indian state of Madhya Pradesh, renowned for its hilltop fort, rich royal heritage, and cultural significance.
  • D. 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.
  • E. Bhilai
    Bhilai is an industrial city in central India best known for its large steel plant and planned urban infrastructure.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd708a3dcc81908b6628864fe0db0a completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c01f036b7881908a555ff18ca5a9af completed March 22, 2026, 4:55 p.m.
Created at: March 20, 2026, 1:31 p.m.