Triple

T9726068
Position Surface form Disambiguated ID Type / Status
Subject HijazRegion E235614 entity
Predicate borderedBy P224 FINISHED
Object Tihamah 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 | Statement: [HijazRegion, borderedBy, Tihamah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tihamah
Context triple: [HijazRegion, borderedBy, Tihamah]
  • A. 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.
  • B. Rumaitha
    Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
  • C. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • D. Sahra
    Sahra is a feminine given name, commonly considered a variant spelling of Sara or Sarah used in various cultures.
  • E. Eldaah
    Eldaah is a minor biblical figure listed in the Hebrew Bible as one of the descendants of Abraham through his wife Keturah.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e798c348190885b79d7dffc9d8d completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fadc2948190b405fb7f249b82aa completed April 4, 2026, 11:33 p.m.
Created at: March 30, 2026, 8:21 p.m.