Triple

T13675332
Position Surface form Disambiguated ID Type / Status
Subject Chhattisgarh Plains E327860 entity
Predicate containsCity P294 FINISHED
Object Durg E170223 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: Durg | Statement: [Chhattisgarh Plains, containsCity, Durg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durg
Context triple: [Chhattisgarh Plains, containsCity, Durg]
  • A. Durg chosen
    Durg is an industrial and commercial city in central India, known as part of the twin city Durg-Bhilai urban area in the state of Chhattisgarh.
  • B. Dhurga
    Dhurga is an Aboriginal Australian language traditionally spoken by the Yuin people of the south coast of New South Wales.
  • C. Mahakal
    Mahakal is a fierce form of the Hindu god Shiva, revered as the timeless destroyer of evil and the presiding deity of the famous Mahakaleshwar Jyotirlinga temple in Ujjain.
  • D. Ramdurg
    Ramdurg is a town in the Indian state of Karnataka, known for its historical temples and its location within the Belagavi region.
  • E. Narasinga
    Narasinga was a prominent monarch of the Vemulavada Chalukya dynasty in early medieval South India, known for consolidating regional power and patronizing Hindu temples and culture.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65c04988190b675e6fb7241e53c completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943dbf748190b41abfe9d81d1427 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.