Triple

T2051442
Position Surface form Disambiguated ID Type / Status
Subject Chambal River E45576 entity
Predicate passesNear P416 FINISHED
Object Kota E55987 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: Kota | Statement: [Chambal River, passesNear, Kota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kota
Context triple: [Chambal River, passesNear, Kota]
  • A. Kota chosen
    Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
  • B. Kokota
    Kokota is an Oceanic language spoken in the Solomon Islands, particularly on Santa Isabel Island.
  • C. Mahanagar
    Mahanagar is a 1963 Bengali drama film by Satyajit Ray that explores the social and familial tensions arising when a middle-class housewife takes up employment in Calcutta.
  • D. Kota Budaya
    Kota Budaya is a popular nickname for Yogyakarta that highlights its status as a major center of Javanese arts, traditions, and cultural heritage in Indonesia.
  • E. Solan
    Solan is a town in the Indian state of Himachal Pradesh known for its mushroom cultivation and as a growing commercial and educational hub in the region.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb98f5f4881908d9aa0f10be44041 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2009951881909d562821fef39c88 completed March 9, 2026, 1:19 a.m.
Created at: March 4, 2026, 7:39 p.m.