Triple

T19348835
Position Surface form Disambiguated ID Type / Status
Subject Nagpur–Bhusawal line E483957 entity
Predicate endPoint P390 FINISHED
Object Bhusawal E622764 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: Bhusawal | Statement: [Nagpur–Bhusawal line, endPoint, Bhusawal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhusawal
Context triple: [Nagpur–Bhusawal line, endPoint, Bhusawal]
  • A. Bhusawal chosen
    Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
  • B. Baramati
    Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
  • C. Chandwad
    Chandwad is a town in the Nashik district of Maharashtra, India, known for its historical temples and hill forts.
  • D. Warora
    Warora is a town in Maharashtra, India, known historically for its coal mining and industrial activities within the Chandrapur district.
  • E. Ratlam
    Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185d54c0819081715ca13a5806b4 completed April 20, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07240767548190a59f13380f4122ea completed May 15, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:34 p.m.