Triple

T4837152
Position Surface form Disambiguated ID Type / Status
Subject Satpura National Park E108086 entity
Predicate nearestCity P350 FINISHED
Object Hoshangabad E58817 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: Hoshangabad | Statement: [Satpura National Park, nearestCity, Hoshangabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoshangabad
Context triple: [Satpura National Park, nearestCity, Hoshangabad]
  • A. Hoshangabad chosen
    Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
  • B. Alirajpur
    Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
  • C. Kushalnagar
    Kushalnagar is a town in Karnataka’s Kodagu district, known as a gateway to the Coorg region and nearby river, dam, and nature attractions.
  • D. Ellichpur
    Ellichpur is a historic city in Maharashtra, India, that once served as an important regional capital under the Deccan sultanates.
  • E. Rajpura
    Rajpura is an industrial and commercial town in the Patiala district of Punjab, India, known for its manufacturing base and strategic location as a transport hub.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce193488190a618250a5681f3ff completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be778cace48190ad28eaf21aec7146 completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:25 p.m.