Triple

T7872895
Position Surface form Disambiguated ID Type / Status
Subject Bellary Fort E182780 entity
Predicate overlooks P1323 FINISHED
Object Ballari city E169792 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: Ballari city | Statement: [Bellary Fort, overlooks, Ballari city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballari city
Context triple: [Bellary Fort, overlooks, Ballari city]
  • A. Ballari chosen
    Ballari is a major city in the Indian state of Karnataka, known for its rich mineral resources and historical forts.
  • B. Ballari district
    Ballari district is an administrative district in the Indian state of Karnataka, known for its rich mineral resources, especially iron ore, and its historical sites.
  • C. Allagadda
    Allagadda is a town and legislative assembly constituency in the Nandyal district of Andhra Pradesh, India.
  • D. Raichur
    Raichur is a historic city in the Indian state of Karnataka, known for its ancient forts, archaeological significance, and strategic location between major river systems.
  • E. Parbhani
    Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a6d93881908d68386e49bea1e3 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbdbcede08190af889a5228de01f5 completed April 1, 2026, 6:39 a.m.
Created at: March 30, 2026, 4:56 p.m.