Triple

T1729102
Position Surface form Disambiguated ID Type / Status
Subject Bhima River E37568 entity
Predicate passesNear P416 FINISHED
Object Kalaburagi E178842 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: Kalaburagi | Statement: [Bhima River, passesNear, Kalaburagi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalaburagi
Context triple: [Bhima River, passesNear, Kalaburagi]
  • A. Kalaburagi chosen
    Kalaburagi is a major city in the northern part of the Indian state of Karnataka, known historically as Gulbarga and noted for its rich heritage and architectural monuments from the Bahmani Sultanate era.
  • B. Guntur
    Guntur is a major city in the Indian state of Andhra Pradesh, known historically as an important administrative and commercial center in southeastern India.
  • C. Bellary
    Bellary is a historic city in the Indian state of Karnataka, known for its rich mineral resources, especially iron ore, and its role as an important administrative and commercial center.
  • D. Kakinada
    Kakinada is a coastal city in the Indian state of Andhra Pradesh, known for its port, seafood industry, and role as a regional commercial hub.
  • E. Mahbubnagar
    Mahbubnagar is a town and district headquarters in the Indian state of Telangana, known for its agricultural surroundings and proximity to major rivers and irrigation projects.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa637da7048190a06f2eec6cb87f70 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc99a3e908190b64f70cf7ab83ed3 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:30 p.m.