Triple

T19966716
Position Surface form Disambiguated ID Type / Status
Subject Nagpur–Secunderabad line E479953 entity
Predicate passesThrough P225 FINISHED
Object Wardha 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: Wardha | Statement: [Nagpur–Secunderabad line, passesThrough, Wardha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wardha
Context triple: [Nagpur–Secunderabad line, passesThrough, Wardha]
  • A. Jaunsar-Bawar
    Jaunsar-Bawar is a hilly, culturally distinct region in Uttarakhand, India, known for its Jaunsari-speaking communities, traditional architecture, and unique customs.
  • B. Karmala
    Karmala is a town in Maharashtra, India, known as a local administrative and commercial center within Solapur district.
  • C. Sardarshahar
    Sardarshahar is a town in the Indian state of Rajasthan known for its historic havelis, temples, and traditional Rajasthani culture.
  • D. Wardha district chosen
    Wardha district is an administrative region in the Indian state of Maharashtra, historically significant as a center of India’s independence movement and home to Mahatma Gandhi’s Sevagram Ashram.
  • E. Alirajpur
    Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc5e41881908c1e8867820f1c0c completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.