Triple

T9497972
Position Surface form Disambiguated ID Type / Status
Subject Malwa Plateau E229058 entity
Predicate containsCity P294 FINISHED
Object Shajapur E155358 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: Shajapur | Statement: [Malwa Plateau, containsCity, Shajapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shajapur
Context triple: [Malwa Plateau, containsCity, Shajapur]
  • A. Shajapur chosen
    Shajapur is a town and administrative center in central India known for being the headquarters of Shajapur district in the state of Madhya Pradesh.
  • B. Shirpur
    Shirpur is a town in the Dhule district of Maharashtra, India, known for its educational institutions and pioneering water conservation initiatives.
  • C. Bharuch
    Bharuch is an ancient port city in the Indian state of Gujarat, historically significant as a major trading hub on the banks of the Narmada River.
  • D. Shrivardhan
    Shrivardhan is a coastal town in Maharashtra, India, historically notable as the birthplace of Balaji Vishwanath, the first Peshwa of the Maratha Empire.
  • E. Shahpura
    Shahpura is a town in Rajasthan, India, historically known as the administrative and cultural center of the former princely Shahpura State.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ef06b88190b7a840caddea3e38 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d3aafb88190ac53289039bca88a completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:56 p.m.