Triple

T3662838
Position Surface form Disambiguated ID Type / Status
Subject Sikandra E77689 entity
Predicate associatedWith P37 FINISHED
Object Emperor Akbar E14445 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: Emperor Akbar | Statement: [Sikandra, associatedWith, Emperor Akbar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emperor Akbar
Context triple: [Sikandra, associatedWith, Emperor Akbar]
  • A. Akbar chosen
    Akbar was a powerful 16th-century Mughal emperor renowned for expanding and consolidating his empire in India and promoting religious tolerance and administrative reforms.
  • B. Shah Jahan
    Shah Jahan was a 17th-century Mughal emperor best known for commissioning the Taj Mahal and overseeing a golden age of Indo-Islamic art and architecture in India.
  • C. Raja Todar Mal
    Raja Todar Mal was a prominent 16th-century Mughal finance minister and administrator renowned for his land revenue reforms under Emperor Akbar.
  • D. Akbar II
    Akbar II was the penultimate Mughal emperor of India, ruling in the early 19th century under increasing British influence and largely as a figurehead.
  • E. Jahangir
    Jahangir was the fourth emperor of the Mughal Empire, known for consolidating imperial power, fostering a rich cultural and artistic court, and maintaining relative internal stability during his reign in the early 17th century.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fcd910819082012b10b23860aa completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69badb12b7488190bcd0be87b6278876 completed March 18, 2026, 5:04 p.m.
Created at: March 8, 2026, 3:25 p.m.