Triple

T2141740
Position Surface form Disambiguated ID Type / Status
Subject Tihamah E46773 entity
Predicate hasSectionIn P37078 FINISHED
Object Tihamah of Yemen E46773 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: Tihamah of Yemen | Statement: [Tihamah, hasSectionIn, Tihamah of Yemen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tihamah of Yemen
Context triple: [Tihamah, hasSectionIn, Tihamah of Yemen]
  • A. Tihamah of Saudi Arabia
    Tihamah of Saudi Arabia is the low-lying coastal plain along the Red Sea in western Saudi Arabia, known for its hot, humid climate and historical significance as part of the Arabian Peninsula’s western coastal region.
  • B. Tihamah chosen
    Tihamah is a low-lying coastal plain along the Red Sea in western Arabia, known historically as a hot, arid region encompassing parts of modern-day Saudi Arabia and Yemen.
  • C. Juwayriya
    Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
  • D. Sahra
    Sahra is a feminine given name, commonly considered a variant spelling of Sara or Sarah used in various cultures.
  • E. Marwa
    Marwa is one of the two small hills in Mecca that Muslims traverse between during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc5af20808190902031d8c0bba376 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653677ec8190ab0b044e005a9947 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:44 p.m.