Triple

T11562949
Position Surface form Disambiguated ID Type / Status
Subject Kanishka I E274187 entity
Predicate capital P234 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: [Kanishka I, capital, Mathura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mathura
Context triple: [Kanishka I, capital, 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. Shrivardhan
    Shrivardhan is a coastal town in Maharashtra, India, historically notable as the birthplace of Balaji Vishwanath, the first Peshwa of the Maratha Empire.
  • C. Jagadhri
    Jagadhri is a city in the Indian state of Haryana, known historically for its metal and brass industries and forming a twin city with Yamunanagar.
  • D. Ujjayini
    Ujjayini is the ancient name of the historic Indian city of Ujjain, a major cultural and religious center known for its prominence in Hindu tradition and astronomy.
  • E. Bharuch
    Bharuch is an ancient port city in the Indian state of Gujarat, historically significant as a major trading hub on the banks of the Narmada River.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd2016481909b33848af3d1d6c1 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e89e73b481908175576f4ec8d39a completed April 21, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:37 p.m.