Triple

T4872029
Position Surface form Disambiguated ID Type / Status
Subject NH 44 E109106 entity
Predicate connectsCity P4245 FINISHED
Object Narsinghpur E153726 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: Narsinghpur | Statement: [NH 44, connectsCity, Narsinghpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narsinghpur
Context triple: [NH 44, connectsCity, Narsinghpur]
  • A. Narsinghpur chosen
    Narsinghpur is a city and administrative center in central India known for its agricultural economy, particularly sugarcane and pulses, within the state of Madhya Pradesh.
  • B. Chhindwara
    Chhindwara is a prominent city in central India known for its agricultural produce, tribal culture, and growing industrial and educational hubs within Madhya Pradesh.
  • C. Anuppur
    Anuppur is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to coal mining areas and natural attractions.
  • D. Garha-Mandla
    Garha-Mandla was a prominent medieval Gond kingdom in central India, known for its regional power and tribal dynastic rule before its eventual incorporation into larger empires.
  • 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 (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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9e27908190a0c4540ee2559c4b completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89d9e6688190b8a8ad3137148e50 completed March 21, 2026, 12:06 p.m.
Created at: March 20, 2026, 1:27 p.m.