Triple

T8667995
Position Surface form Disambiguated ID Type / Status
Subject Mathura district E205722 entity
Predicate hasMajorTown P316 FINISHED
Object Goverdhan E587002 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: Goverdhan | Statement: [Mathura district, hasMajorTown, Goverdhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goverdhan
Context triple: [Mathura district, hasMajorTown, Goverdhan]
  • A. Goverdhan chosen
    Goverdhan is a legislative assembly constituency in Uttar Pradesh, India, known for encompassing the pilgrimage town of Govardhan near Mathura.
  • B. Rajgurunagar
    Rajgurunagar is a town in Maharashtra, India, historically notable as the birthplace of Indian revolutionary freedom fighter Shivaram Rajguru.
  • C. Bithoor
    Bithoor is a historic town in Uttar Pradesh, India, known for its religious significance on the banks of the Ganges and its prominent role in the Indian Rebellion of 1857.
  • D. Banavasi
    Banavasi is an ancient town in Karnataka, India, historically significant as an early capital of the Kadamba dynasty and a major center of early Kannada culture and inscriptions.
  • E. Sawerigadi
    Sawerigadi is a town in Indonesia located in the province of Southeast Sulawesi.
  • 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_69cf286a364c8190b7f4f9d8243e2548 completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:31 p.m.