Triple

T8667997
Position Surface form Disambiguated ID Type / Status
Subject Mathura district E205722 entity
Predicate hasMajorTown P316 FINISHED
Object Nandgaon E305241 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: Nandgaon | Statement: [Mathura district, hasMajorTown, Nandgaon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nandgaon
Context triple: [Mathura district, hasMajorTown, Nandgaon]
  • A. Nandgaon chosen
    Nandgaon is a historic town in the Braj region of India, revered in Hindu tradition as the childhood home of Lord Krishna and an important pilgrimage site.
  • B. Nandgaon
    Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
  • C. Nandod
    Nandod is the former name of the town now known as Rajpipla in the Indian state of Gujarat.
  • D. Kopargaon
    Kopargaon is a town in the Ahmednagar district of Maharashtra, India, known as a commercial and transport hub near the pilgrimage city of Shirdi.
  • E. Nategaon
    Nategaon is a village in India known primarily as the birthplace of prominent Indian civil servant and economist C. D. Deshmukh.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a48b548190b78259072b1224ee completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd1ca88c8190a3b2ca79a7204248 completed April 2, 2026, 8:10 p.m.
Created at: March 30, 2026, 6:31 p.m.