Triple

T1477227
Position Surface form Disambiguated ID Type / Status
Subject Chhattisgarh E30868 entity
Predicate hasMajorCity P316 FINISHED
Object Raipur E260617 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: Raipur | Statement: [Chhattisgarh, hasMajorCity, Raipur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raipur
Context triple: [Chhattisgarh, hasMajorCity, Raipur]
  • A. Raipur chosen
    Raipur is a major city in central India that serves as the commercial and administrative hub of the state of Chhattisgarh.
  • 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. Indore
    Indore is a major commercial and educational hub in central India, known for its vibrant markets, food culture, and rapidly growing urban infrastructure.
  • D. Gwalior
    Gwalior is a historic city in the Indian state of Madhya Pradesh, renowned for its hilltop fort, rich royal heritage, and cultural significance.
  • E. Bilaspur
    Bilaspur is a major city in the Indian state of Chhattisgarh, known as an important administrative, commercial, and judicial center.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c603f9e88190b340734709534860 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3a390bc8190891ebd5d8a48d818 completed March 9, 2026, 11:48 a.m.
Created at: March 1, 2026, 8:11 p.m.