Triple

T3566690
Position Surface form Disambiguated ID Type / Status
Subject Gwalior State E75465 entity
Predicate notablePlace P10233 FINISHED
Object Ujjain E118350 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: Ujjain | Statement: [Gwalior State, notablePlace, Ujjain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ujjain
Context triple: [Gwalior State, notablePlace, Ujjain]
  • A. Ujjain chosen
    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.
  • B. Mathura
    Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
  • C. Jabalpur
    Jabalpur is a major city in the central Indian state of Madhya Pradesh, known for its industrial base, educational institutions, and nearby marble rock formations along the Narmada River.
  • D. 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.
  • E. Ratlam
    Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0aa0fcc8190bc99df68d2bd9139 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbacbb1081908fc57168a8fc3ade completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.