Triple

T1517359
Position Surface form Disambiguated ID Type / Status
Subject Gupta Empire E32150 entity
Predicate majorCity P316 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: [Gupta Empire, majorCity, Mathura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mathura
Context triple: [Gupta Empire, majorCity, 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. Gharnāṭa
    Gharnāṭa is the historical Arabic name for the city of Granada in southern Spain, renowned as the last Muslim stronghold in the Iberian Peninsula and home to the Alhambra palace.
  • C. Ayodhya
    Ayodhya is an ancient city in India revered in Hinduism as the birthplace of Lord Rama and a major pilgrimage site.
  • D. Dhar
    Dhar is a historic town and administrative center in the Indian state of Madhya Pradesh, known for its medieval forts, Islamic architecture, and cultural heritage.
  • E. Ujjain
    Ujjain is an ancient city in central India, renowned as a major Hindu pilgrimage center and one of the traditional sites of the Kumbh Mela.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907eb7d108190bf26199744d510d7 completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad468cd3b88190916a6363884d664b completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:26 p.m.