Triple

T888316
Position Surface form Disambiguated ID Type / Status
Subject Shimon bar Yochai E19179 entity
Predicate honorificTitle P2097 FINISHED
Object Rashbi E108131 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: Rashbi | Statement: [Shimon bar Yochai, honorificTitle, Rashbi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rashbi
Context triple: [Shimon bar Yochai, honorificTitle, Rashbi]
  • A. Rashbi chosen
    Rashbi is the commonly used acronymic name for Rabbi Shimon bar Yochai, a 2nd-century Talmudic sage and central figure in Jewish mysticism.
  • B. Ropsha
    Ropsha is a historic estate and village near Saint Petersburg, Russia, known as the site of Emperor Peter III’s mysterious death in 1762.
  • C. Nachod
    Náchod is a historic town in the Hradec Králové Region of northeastern Czech Republic, near the Polish border, known for its castle and spa traditions.
  • D. Safed
    Safed is a historic hilltop city in northern Israel renowned as one of Judaism’s four holy cities and a major center of Jewish mysticism (Kabbalah).
  • E. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace8b8688190ac065f92c017adec completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee02a21c819088e6a137ea306efd completed March 4, 2026, 8:32 a.m.
Created at: March 1, 2026, 7:39 p.m.