Triple

T9714253
Position Surface form Disambiguated ID Type / Status
Subject Koshali language E235099 entity
Predicate region P40 FINISHED
Object Sambalpur E66522 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: Sambalpur | Statement: [Koshali language, region, Sambalpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sambalpur
Context triple: [Koshali language, region, Sambalpur]
  • A. Sambalpur chosen
    Sambalpur is a historic city and former princely region in western Odisha, India, known for its cultural heritage, textile traditions, and role in 19th-century colonial-era political events.
  • B. Chaibasa
    Chaibasa is a town in eastern India that serves as the administrative headquarters of West Singhbhum district in the state of Jharkhand.
  • C. Jagatsinghpur
    Jagatsinghpur is a town and administrative center in the Indian state of Odisha, known for its location near the Bay of Bengal and its role in regional agriculture and industry.
  • D. Chakradharpur
    Chakradharpur is a key railway town in Jharkhand, India, serving as an important divisional headquarters and transport hub on the Indian Railways network.
  • E. Contai
    Contai is a coastal town in eastern India known as a regional commercial and transport hub in the Purba Medinipur district of West Bengal.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0a1b548190b34c8571751ca1d3 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af9d6f148190b157cc7a0f91b387 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:19 p.m.