Triple

T9561689
Position Surface form Disambiguated ID Type / Status
Subject Transoxiana E230688 entity
Predicate knownAs P39 FINISHED
Object Mawarannahr E67423 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: Mawarannahr | Statement: [Transoxiana, knownAs, Mawarannahr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mawarannahr
Context triple: [Transoxiana, knownAs, Mawarannahr]
  • A. Azania
    Azania is a name used by some African liberation movements and activists to refer to a decolonized, non-apartheid South Africa.
  • B. Ridaniya
    Ridaniya is a historical locality near Cairo, Egypt, known primarily as the site of a pivotal early 16th-century battle between the Ottoman Empire and the Mamluk Sultanate.
  • C. Oriente
    Oriente is a Bolivian professional football club based in Santa Cruz de la Sierra, known for competing in the country’s top division.
  • D. Khorasan chosen
    Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
  • E. Sawbwa
    Sawbwa was the hereditary princely title held by the traditional rulers of the Shan States in what is now Myanmar.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd994d31e08190b139f5ad10d8ea31 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152a014a48190925d52967e1fbffe completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:03 p.m.