Triple

T791388
Position Surface form Disambiguated ID Type / Status
Subject Agra E16921 entity
Predicate nearbyCity P350 FINISHED
Object Mathura E26469 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: Mathura | Statement: [Agra, nearbyCity, Mathura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mathura
Context triple: [Agra, nearbyCity, Mathura]
  • A. Mathura chosen
    Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
  • B. Ayodhya
    Ayodhya is an ancient city in India revered in Hinduism as the birthplace of Lord Rama and a major pilgrimage site.
  • C. Dahanapura
    Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
  • D. Gangaur
    Gangaur is a prominent Rajasthani festival dedicated to the worship of Goddess Gauri, celebrating marital fidelity, prosperity, and the well-being of women.
  • E. Vrindavan
    Vrindavan is a major Hindu pilgrimage town in Uttar Pradesh, India, revered as a principal center of devotion to Lord Krishna and associated with many temples, sacred groves, and legends from his life.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a798c7608190b9c79c52a1fe0859 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826cc938481909e420185871a5d27 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:38 p.m.