Triple

T13894998
Position Surface form Disambiguated ID Type / Status
Subject Sambalpur Municipal Corporation E334064 entity
Predicate jurisdiction P82 FINISHED
Object Sambalpur city 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 city | Statement: [Sambalpur Municipal Corporation, jurisdiction, Sambalpur city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sambalpur city
Context triple: [Sambalpur Municipal Corporation, jurisdiction, Sambalpur city]
  • 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. Balangir
    Balangir is a town and district in the western Indian state of Odisha, known as a cultural center of the Kosal (Koshali) region.
  • C. Bargarh
    Bargarh is a town and district in the Indian state of Odisha, known for its agricultural economy and rich regional culture.
  • D. Berhampur
    Berhampur is a major commercial and educational city in the Indian state of Odisha, known especially for its trade, textiles, and proximity to the Gopalpur-on-Sea beach.
  • E. Jagdalpur
    Jagdalpur is a city in the Bastar district of Chhattisgarh, India, known for its tribal culture, dense forests, and proximity to major waterfalls and national parks.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a741908190bdf46d76c5f1411a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d44d848190ab445833e64a6bfc completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:15 p.m.