Triple

T3909132
Position Surface form Disambiguated ID Type / Status
Subject Ruqʿah E87278 entity
Predicate ligatureUsage P9191 FINISHED
Object limited ligatures compared to more decorative scripts LITERAL 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: limited ligatures compared to more decorative scripts | Statement: [Ruqʿah, ligatureUsage, limited ligatures compared to more decorative scripts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ligatureUsage
Context triple: [Ruqʿah, ligatureUsage, limited ligatures compared to more decorative scripts]
  • A. hasLigatures chosen
    Indicates that one writing system, font, or text includes combined character forms (ligatures) that join two or more individual glyphs into a single symbol.
  • B. usesDiacritics
    Indicates that the referenced text or linguistic element employs diacritical marks as part of its written form.
  • C. hasDistinctLetterForms
    Indicates that the related writing system or symbol set uses different visual shapes or styles for the same letter in different contexts (such as position, case, or usage).
  • D. usesColloquialCharacters
    Indicates that an expression, name, or text is written using informal, non-standard, or colloquial characters rather than formal or standard script.
  • E. hasCursiveJoining
    Indicates that one written character is connected to another through cursive-style joining.
  • F. None of above.

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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef1abe2dc81909c18aeae9b286898 completed March 9, 2026, 4:13 p.m.
PD Predicate disambiguation batch_69aee75cff148190b6d5979d17fae085 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:22 p.m.