Triple

T20991344
Position Surface form Disambiguated ID Type / Status
Subject Damoh railway station E517030 entity
Predicate connectsTo P845 FINISHED
Object Jabalpur 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: Jabalpur | Statement: [Damoh railway station, connectsTo, Jabalpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jabalpur
Context triple: [Damoh railway station, connectsTo, Jabalpur]
  • A. Jabalpur chosen
    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.
  • B. Bhilsa
    Bhilsa is a historical town in the Vidisha district of Madhya Pradesh, India, known for its ancient Buddhist and Hindu archaeological sites.
  • C. Gwalior
    Gwalior is a historic city in the Indian state of Madhya Pradesh, renowned for its hilltop fort, rich royal heritage, and cultural significance.
  • D. Indore
    Indore is a major commercial and educational hub in central India, known for its vibrant markets, food culture, and rapidly growing urban infrastructure.
  • E. 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.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1ba3d0819080d9d03817a45026 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:50 p.m.