Triple

T11335607
Position Surface form Disambiguated ID Type / Status
Subject Jaipur district E268462 entity
Predicate borderedBy P224 FINISHED
Object Tonk district E440543 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: Tonk district | Statement: [Jaipur district, borderedBy, Tonk district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tonk district
Context triple: [Jaipur district, borderedBy, Tonk district]
  • A. Tonk district chosen
    Tonk district is an administrative region in the Indian state of Rajasthan, known for its historical towns and agricultural landscape.
  • B. Alwar district
    Alwar district is an administrative region in the Indian state of Rajasthan known for its historical heritage, forts, and the Sariska Tiger Reserve.
  • C. Sitapur district
    Sitapur district is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural landscape and location in the fertile plains of northern India.
  • D. Ashoknagar district
    Ashoknagar district is an administrative district in the central Indian state of Madhya Pradesh, known for its predominantly agrarian economy and small-town settlements.
  • E. Anand district
    Anand district is an administrative region in the state of Gujarat, India, known for its agricultural productivity and as a major hub of the Indian dairy industry.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9ff62c88190a089dd84e2ac1d17 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55645d8bc8190b338c05ee382d5fc completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.