Triple

T21109060
Position Surface form Disambiguated ID Type / Status
Subject R. K. Narayan E520127 entity
Predicate fictionalSettingOfWork P121898 FINISHED
Object Malgudi E1466779 NE FINISHED

How this triple was built (3 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: Malgudi | Statement: [R. K. Narayan, fictionalSettingOfWork, Malgudi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malgudi
Context triple: [R. K. Narayan, fictionalSettingOfWork, Malgudi]
  • A. Malgudi chosen
    Malgudi is a fictional South Indian town that serves as the vivid, recurring setting for many of R. K. Narayan’s novels and short stories.
  • B. Padampur
    Padampur is a town in the Ganganagar district of Rajasthan, India, known for its agricultural economy supported by canal irrigation in the arid northwestern region of the state.
  • C. Benipatti
    Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
  • D. Madhapur
    Madhapur is a major IT and business district in Hyderabad, India, known for its technology parks, corporate offices, and modern urban infrastructure.
  • E. Vrindavan
    Vrindavan is a major Hindu pilgrimage town in Uttar Pradesh, India, revered as a principal center of devotion to Lord Krishna and associated with many temples, sacred groves, and legends from his life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalSettingOfWork
Context triple: [R. K. Narayan, fictionalSettingOfWork, Malgudi]
  • A. basedInFictionalSetting
    Indicates that an entity’s primary location or setting exists within a fictional or imaginary world rather than the real world.
  • B. hasFictionalSettingElement
    Indicates that something includes or is associated with a specific element or component of a fictional setting.
  • C. fictionalSettingRegion
    Indicates that a fictional setting is located within or associated with a specific geographic or administrative region.
  • D. fictionalStreetSetting
    Indicates that an entity is set on or associated with a street that exists only within a fictional or imaginary context.
  • E. fictionalCitySetting chosen
    Indicates that a narrative, event, or work is set in a city that is imaginary or does not exist in the real world.
  • F. None of above.

Provenance (4 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7210110a48190a6359b6732f6293d completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965dd465c8190af8448d5db296d79 completed May 17, 2026, 6:53 a.m.
PD Predicate disambiguation batch_69e5dbff56848190a03b350a9305c612 completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:54 p.m.