Triple

T16123914
Position Surface form Disambiguated ID Type / Status
Subject Mubarak Shah E391215 entity
Predicate name P16 FINISHED
Object Mubarak Shah E391215 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: Mubarak Shah | Statement: [Mubarak Shah, name, Mubarak Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mubarak Shah
Context triple: [Mubarak Shah, name, Mubarak Shah]
  • A. Mubarak Shah chosen
    Mubarak Shah was a 15th-century ruler of the Sayyid dynasty who governed the Delhi Sultanate in northern India.
  • B. Sultan Mehmood
    Sultan Mehmood is a Pakistani politician best known for serving as the President of Azad Jammu and Kashmir.
  • C. Mansur Rajih
    Mansur Rajih is a Yemeni poet and human rights activist known for his political imprisonment and later recognition in exile, including major international literary and freedom-of-expression awards.
  • D. Abdullah Ma'ayat Shah
    Abdullah Ma'ayat Shah was a Sultan of Johor in the Malay Peninsula during the 16th century, known for his role in the early history of the Johor Sultanate following the fall of Malacca.
  • E. Muhammad Shah Rangila
    Muhammad Shah Rangila was the Mughal emperor of India from 1719 to 1748, known for his cultural patronage, indulgent lifestyle, and the decline of imperial power during his reign.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020342988190add65c784b8ee179 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeef277481908ab35bbff06c827a completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5 a.m.