Triple

T7256439
Position Surface form Disambiguated ID Type / Status
Subject Allahabad Fort E157733 entity
Predicate commissionedBy P27 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: [Allahabad Fort, commissionedBy, Akbar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akbar
Context triple: [Allahabad Fort, commissionedBy, 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. 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.
  • C. 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.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa274bc8190b017b71583711453 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3b541708190b66233813b167453 completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:57 p.m.