Triple

T274516
Position Surface form Disambiguated ID Type / Status
Subject Tehran E5216 entity
Predicate subregion P747 FINISHED
Object Western Asia E2715 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: Western Asia | Statement: [Tehran, subregion, Western Asia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Asia
Context triple: [Tehran, subregion, Western Asia]
  • A. Middle East chosen
    The Middle East is a transcontinental region centered on Western Asia and parts of North Africa, known for its strategic location, vast energy resources, and profound historical and cultural significance.
  • B. Central Asia
    Central Asia is a vast, landlocked region of Eurasia characterized by its historical Silk Road crossroads, diverse Turkic, Persian, and Russian cultural influences, and predominantly steppe and desert landscapes.
  • C. North Asia
    North Asia is the vast, sparsely populated northern part of the Asian continent, dominated by Siberia and characterized by its cold climate and extensive forests and tundra.
  • D. Eurasia
    Eurasia is the vast combined continental landmass of Europe and Asia, forming the largest continuous land area on Earth.
  • E. Arab world
    The Arab world is a culturally and linguistically connected region of Arabic-speaking countries spanning North Africa and Western Asia.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25dd0a99c819089968a5400c58c5f completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3c8b2a8a081908b45c15fae160d9e completed March 1, 2026, 5:03 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.