Triple

T23087706
Position Surface form Disambiguated ID Type / Status
Subject Shahdol railway station E575655 entity
Predicate connectsTo P845 FINISHED
Object Raipur 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: Raipur | Statement: [Shahdol railway station, connectsTo, Raipur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raipur
Context triple: [Shahdol railway station, connectsTo, Raipur]
  • A. Raipur chosen
    Raipur is a major city in central India that serves as the commercial and administrative hub of the state of Chhattisgarh.
  • B. Jabalpur
    Jabalpur is a major city in the central Indian state of Madhya Pradesh, known for its industrial base, educational institutions, and nearby marble rock formations along the Narmada River.
  • C. Naya Raipur
    Naya Raipur is a planned city in the Indian state of Chhattisgarh that serves as its modern administrative capital.
  • D. Silvassa
    Silvassa is an industrial and commercial town in western India that serves as the capital and main urban center of the union territory of Dadra and Nagar Haveli and Daman and Diu.
  • E. Indore
    Indore is a major commercial and educational hub in central India, known for its vibrant markets, food culture, and rapidly growing urban infrastructure.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da7c54c81908b62d04ab1811b06 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.