Triple

T3460629
Position Surface form Disambiguated ID Type / Status
Subject Khader Khan E73013 entity
Predicate partOf P40 FINISHED
Object Shantaram universe E15070 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: Shantaram universe | Statement: [Khader Khan, partOf, Shantaram universe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shantaram universe
Context triple: [Khader Khan, partOf, Shantaram universe]
  • A. Shantaram chosen
    Shantaram is a novel by Gregory David Roberts that follows an Australian fugitive who builds a new life in the underworld of Bombay, blending adventure, crime, and spiritual exploration.
  • B. Silk City
    Silk City is a historic nickname for Paterson, New Jersey, reflecting its past prominence as a major center of silk production in the United States.
  • C. Silk City
    Silk City is a popular nickname for Rajshahi, a major city in western Bangladesh historically renowned for its silk industry and fine silk products.
  • D. Mirzapur
    Mirzapur is a city in the Indian state of Uttar Pradesh, known for its carpet and brassware industries and its location on the banks of the Ganges River.
  • E. Serindia
    Serindia is a monumental archaeological and historical study by Aurel Stein on the art, culture, and ancient remains of the Central Asian regions along the Silk Road.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae5ff848190880fa416a123bc4a completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3611ff950819081b49f5c75aa6e4d completed March 13, 2026, 12:58 a.m.
Created at: March 8, 2026, 3:17 p.m.