Triple

T12615357
Position Surface form Disambiguated ID Type / Status
Subject Narmada Parikrama pilgrimage E301235 entity
Predicate notablePilgrimageSites P16196 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: [Narmada Parikrama pilgrimage, notablePilgrimageSites, Hoshangabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoshangabad
Context triple: [Narmada Parikrama pilgrimage, notablePilgrimageSites, 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. Bhopalgarh
    Bhopalgarh is a town in the Indian state of Rajasthan, known for its rural setting and administrative role within the region.
  • C. Alirajpur
    Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
  • D. Nategaon
    Nategaon is a village in India known primarily as the birthplace of prominent Indian civil servant and economist C. D. Deshmukh.
  • E. 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.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96411d87481909127e81755f23964 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af45ea888190a4b2d0c1730a06ef completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:12 p.m.