Triple

T14578607
Position Surface form Disambiguated ID Type / Status
Subject Saada region E342124 entity
Predicate hasTown P847 FINISHED
Object Razih E378252 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: Razih | Statement: [Saada region, hasTown, Razih]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Razih
Context triple: [Saada region, hasTown, Razih]
  • A. Razihi chosen
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • B. Rabia
    Rabia is the central protagonist of the Turkish novel "Sinekli Bakkal," depicted as a spiritually gifted and morally steadfast young woman navigating the social and cultural tensions of late Ottoman Istanbul.
  • C. Ruz
    Ruz is a Spanish-language surname most notably associated with the family of Cuban leader Fidel Castro through his mother, Lina Ruz González.
  • D. Zahwa
    Zahwa is a feminine given name of Arabic origin, often interpreted to mean "radiance" or "beauty."
  • E. Hezir
    Hezir is a biblical figure listed among the priestly families of ancient Israel, associated with the Benei Hezir priestly division.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f6f78c81908a30ecb4c025299d completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ad03e7881908a783182c6d656b5 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.