Triple

T879415
Position Surface form Disambiguated ID Type / Status
Subject Madhya Pradesh E18993 entity
Predicate capital P234 FINISHED
Object Bhopal 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 | Statement: [Madhya Pradesh, capital, Bhopal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhopal
Context triple: [Madhya Pradesh, capital, Bhopal]
  • 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. 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.
  • 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. Solapur
    Solapur is a prominent city in southwestern Maharashtra, India, known for its textile industry, religious sites, and cultural significance to Marathi-speaking people.
  • E. Gandhinagar
    Gandhinagar is a planned city in western India known for serving as the administrative and political center of the state of Gujarat.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acc9d5f4819087afbb75b6ac3dbf completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd46627dc81908565f4f93cd35012 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:39 p.m.