Triple

T546423
Position Surface form Disambiguated ID Type / Status
Subject Semitic languages E12741 entity
Predicate hasWritingSystem P454 FINISHED
Object Hebrew script E16731 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: Hebrew script | Statement: [Semitic languages, hasWritingSystem, Hebrew script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hebrew script
Context triple: [Semitic languages, hasWritingSystem, Hebrew script]
  • A. Hebrew alphabet chosen
    The Hebrew alphabet is an ancient consonant-based writing system used primarily for Hebrew and several other Jewish languages, including Judeo-Arabic and Yiddish.
  • B. Ruqʿah script
    Ruqʿah script is a simple, highly legible Arabic handwriting style commonly used for everyday writing and official documents in the Arab world.
  • C. Rashi script
    Rashi script is a semi-cursive Hebrew typeface historically used in Jewish religious and scholarly texts, especially for commentaries and Judeo-languages.
  • D. Tirhuta script
    Tirhuta script is a traditional Brahmic writing system historically used for the Maithili language of the Mithila region in India and Nepal.
  • E. Perso-Arabic script
    The Perso-Arabic script is a modified form of the Arabic writing system, expanded with additional letters and conventions to represent the sounds of Persian and several other languages across the Middle East and South Asia.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498e150e88190b35b1bc7a376ca07 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4d044b03c8190b7c87b0da05e4d6e completed March 1, 2026, 11:48 p.m.
Created at: March 1, 2026, 7:32 p.m.