Triple

T19016525
Position Surface form Disambiguated ID Type / Status
Subject Testour E465363 entity
Predicate culturalInfluence P9 FINISHED
Object Arab NE NERFINISHED

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: Arab | Statement: [Testour, culturalInfluence, Arab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arab
Context triple: [Testour, culturalInfluence, Arab]
  • A. Arabian
    Arabian horses are an ancient and influential breed from the Arabian Peninsula, renowned for their endurance, refined appearance, and significant contribution to the development of many modern horse breeds.
  • B. Arabs chosen
    Arabs are a diverse ethnolinguistic group originating from the Arabian Peninsula and surrounding regions, united primarily by the Arabic language and a shared cultural and historical heritage.
  • C. The Arab
    "The Arab" is a 1924 American silent drama film, directed by Rex Ingram and starring Alice Terry, adapted from a stage play about a noble Arab patriot in wartime.
  • D. Arabist
    An Arabist is a scholar who specializes in the Arabic language, literature, history, and culture, often focusing on the broader Arab world and its civilizations.
  • 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 (2 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6db04fc819094709f223e30a526 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.