Triple

T11740284
Position Surface form Disambiguated ID Type / Status
Subject Mewar Kingdom E279132 entity
Predicate foughtAgainst P12 FINISHED
Object 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: Akbar | Statement: [Mewar Kingdom, foughtAgainst, Akbar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akbar
Context triple: [Mewar Kingdom, foughtAgainst, 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. Akbar Khan
    Akbar Khan was an Afghan military leader and prince known for leading resistance against British forces during the First Anglo-Afghan War in the 19th century.
  • C. Sultan Muhammad Akbar
    Sultan Muhammad Akbar was a Mughal prince of the 17th century, known as the son of Emperor Aurangzeb and his chief consort Dilras Banu Begum.
  • D. Akbar Muhammad
    Akbar Muhammad was an American scholar and activist known for his work on African and Islamic studies and as a prominent member of the Nation of Islam.
  • E. 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.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f025f88190a39280806c9d7c33 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019c339cc81909967ecfa234e4ab8 completed April 28, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:41 p.m.