Triple

T25868568

Position	Surface form	Disambiguated ID	Type / Status
Subject	Ar-Rahim	`E651686`	entity
Predicate	calligraphyTradition	`P33125`	FINISHED
Object	Islamic calligraphy Islamic calligraphy is a revered artistic tradition that uses stylized Arabic script to express and beautify Qur’anic verses, religious texts, and Islamic cultural heritage.	`E11665`	NE FINISHED

How this triple was built (3 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: Islamic calligraphy | Statement: [Ar-Rahim, calligraphyTradition, Islamic calligraphy]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Islamic calligraphy
Triple: [Ar-Rahim, calligraphyTradition, Islamic calligraphy]

Generated description

Islamic calligraphy is a revered artistic tradition that uses stylized Arabic script to express and beautify Qur’anic verses, religious texts, and Islamic cultural heritage.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: calligraphyTradition
Context triple: [Ar-Rahim, calligraphyTradition, Islamic calligraphy]

A. calligraphicUse
Indicates that one entity uses or applies another entity specifically for calligraphic purposes or in the practice of calligraphy.
B. paintingTradition
Indicates a stylistic or cultural school of painting to which an artwork or artist belongs.
C. traditionalArtForm chosen
Indicates that something is an established artistic practice or style that has been handed down through cultural or historical tradition.
D. drawsFromTradition
Indicates that something is influenced by, incorporates, or builds upon established traditions or traditional practices.
E. hasCalligraphy
Indicates that an entity possesses or is associated with calligraphy, such as having calligraphic writing, decoration, or stylistic features.
F. None of above.

Provenance (6 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_69e7ab3a199c81909227cb964cacfe24`	completed	April 21, 2026, 4:52 p.m.
NER	Named-entity recognition	`batch_69f602da6e808190a3ff3786b1b07c65`	completed	May 2, 2026, 1:57 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1107660ac0819081c99efb10f47ecc`	completed	May 23, 2026, 1:48 a.m.
NEDg	Description generation	`batch_6a11084f81b0819097ab28a73ad970cb`	completed	May 23, 2026, 1:52 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1108d6dbfc8190b95ecc9466e182b9`	completed	May 23, 2026, 1:54 a.m.
PD	Predicate disambiguation	`batch_69f4939148dc81908706cec7d85291bc`	completed	May 1, 2026, 11:50 a.m.

Created at: April 22, 2026, 8:08 a.m.