Triple

T75359
Position Surface form Disambiguated ID Type / Status
Subject Roma E1507 entity
Predicate originatesFrom P26 FINISHED
Object Indian subcontinent E6055 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: Indian subcontinent | Statement: [Roma, originatesFrom, Indian subcontinent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indian subcontinent
Context triple: [Roma, originatesFrom, Indian subcontinent]
  • A. South Asia chosen
    South Asia is a culturally and linguistically diverse region of the Asian continent that includes countries such as India, Pakistan, Bangladesh, Nepal, Sri Lanka, Bhutan, and the Maldives.
  • B. Asia
    Asia is the world’s largest and most populous continent, encompassing diverse cultures, languages, and landscapes across the Eastern and Northern Hemispheres.
  • C. India
    India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
  • D. British India
    British India was the vast territory on the Indian subcontinent administered by the British Crown and its agents from the 18th to mid-20th century, forming the core of the British Empire in Asia.
  • E. 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.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f1b99a48190aec004ecd49b4a0d completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c1b81a88190ba473b28dd88fdb8 completed Feb. 28, 2026, 4:16 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.