Triple

T11851594
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Jaipur E281920 entity
Predicate majorCity P316 FINISHED
Object Sanganer E922672 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: Sanganer | Statement: [Kingdom of Jaipur, majorCity, Sanganer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanganer
Context triple: [Kingdom of Jaipur, majorCity, Sanganer]
  • A. Sanganer chosen
    Sanganer is a suburban town near Jaipur in Rajasthan, India, known for its traditional hand block printing, handmade paper industry, and historic Jain temples.
  • B. Bikaner
    Bikaner is a historic city in the Indian state of Rajasthan, known for its desert landscape, grand forts, and rich Rajasthani culture.
  • C. Jhunjhunu
    Jhunjhunu is a city and district in the northeastern part of Rajasthan, India, known for its historic havelis, rich Marwari heritage, and role as a prominent center of education and military recruitment.
  • D. Sangamner
    Sangamner is a town in the Ahmednagar district of Maharashtra, India, known as a commercial and educational hub in the northern part of the district.
  • E. Sawai Madhopur
    Sawai Madhopur is a town in Rajasthan, India, best known as the main gateway to the tiger-rich Ranthambore region and its historic fort.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a696ee548190800d56c64c339b10 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4716d92c881908d45cb7b3babb1f7 completed May 1, 2026, 9:25 a.m.
Created at: April 8, 2026, 9:43 p.m.