Triple

T516616
Position Surface form Disambiguated ID Type / Status
Subject Uttar Pradesh E10722 entity
Predicate containsCity P294 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: [Uttar Pradesh, containsCity, Mathura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mathura
Context triple: [Uttar Pradesh, containsCity, 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f184c3a481909bf60bb627b0ea88 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b830bf5c81908784e8146987eb96 completed March 4, 2026, 4:42 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.