Triple

T2980919
Position Surface form Disambiguated ID Type / Status
Subject Aleph E80506 entity
Predicate hasCalligraphicStyle P1609 FINISHED
Object Rashi script E11343 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: Rashi script | Statement: [Aleph, hasCalligraphicStyle, Rashi script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rashi script
Context triple: [Aleph, hasCalligraphicStyle, Rashi script]
  • A. Rashi script chosen
    Rashi script is a semi-cursive Hebrew typeface historically used in Jewish religious and scholarly texts, especially for commentaries and Judeo-languages.
  • B. Ashkenazi cursive Hebrew
    Ashkenazi cursive Hebrew is a handwritten Hebrew script style traditionally used by Ashkenazi Jews for everyday writing, distinct from formal print and calligraphic scripts.
  • C. Mahajani script
    The Mahajani script is a historical North Indian mercantile writing system once widely used by traders and accountants, particularly for languages like Marwari and Hindi.
  • D. Naskh script
    Naskh script is a widely used, highly legible style of Arabic calligraphy commonly employed in printed texts, books, and everyday writing.
  • E. Taliq script
    Taliq script is a flowing, cursive style of Islamic calligraphy, historically used for Persian and Ottoman Turkish manuscripts and known for its elegant, slanted letterforms.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999e91788190a2d430dd0600a660 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f27d648190a7a58670fec8b74d completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.