Triple

T17628203
Position Surface form Disambiguated ID Type / Status
Subject Saran district E429903 entity
Predicate hasMajorTown P316 FINISHED
Object Sonpur NE NERFINISHED

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: Sonpur | Statement: [Saran district, hasMajorTown, Sonpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonpur
Context triple: [Saran district, hasMajorTown, Sonpur]
  • A. Sonpur chosen
    Sonpur is a town in the Indian state of Bihar, known for its location near the confluence of the Ganges and Gandak rivers and for hosting one of Asia’s largest traditional cattle fairs.
  • B. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • C. Palsana
    Palsana is a suburban area within the Surat metropolitan region in the Indian state of Gujarat, known for its growing residential and industrial development.
  • D. Badarpur
    Badarpur is a residential and commercial neighborhood in South East Delhi, India, known for its major traffic junction and connectivity via the Badarpur border and metro station.
  • E. Nawalgarh
    Nawalgarh is a historic town in Rajasthan, India, renowned for its richly painted havelis and cultural heritage within the Shekhawati region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbe3a308190a818d04f1a9b15f7 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.