Triple

T37349578

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mushaf al-Madina	`E927284`	entity
Predicate	followsOrthography	`P29676`	FINISHED
Object	Uthmani orthography Uthmani orthography is the classical standardized system of Arabic script used in early Qur’anic manuscripts and preserved in many modern printed Qur’ans.	`E2223324`	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: Uthmani orthography | Statement: [Mushaf al-Madina, followsOrthography, Uthmani orthography]

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: Uthmani orthography
Triple: [Mushaf al-Madina, followsOrthography, Uthmani orthography]

Generated description

Uthmani orthography is the classical standardized system of Arabic script used in early Qur’anic manuscripts and preserved in many modern printed Qur’ans.

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

Target predicate: followsOrthography
Context triple: [Mushaf al-Madina, followsOrthography, Uthmani orthography]

A. usesStandardOrthographyOf chosen
Indicates that one entity writes or represents language according to the standard orthographic system defined for another entity.
B. orthographicIndependence
Indicates that one writing system or orthographic form functions independently of, and is not derived from or constrained by, another.
C. hasOrthographicConvention
Indicates that there is a specific writing or spelling convention that governs how something is represented in written form.
D. orthographyNote
Indicates that there is a note or comment about the spelling or written form of an entity’s name or label.
E. roleInOrthography
Indicates the specific function or contribution an element has within a given writing system or orthographic structure.
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_69f76eb5e034819088e53ab5b7909a68`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_69ff691f5ae481908597ce245188d31c`	completed	May 9, 2026, 5:04 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a406cdeec0481908449b31e56c88df8`	completed	June 28, 2026, 12:37 a.m.
NEDg	Description generation	`batch_6a406da07e6c81909bcf8a7cce086fcf`	completed	June 28, 2026, 12:41 a.m.
NED2	Entity disambiguation (via description)	`batch_6a406e2e5e00819097b90719f08951c8`	completed	June 28, 2026, 12:43 a.m.
PD	Predicate disambiguation	`batch_69ff67ceeeb081909fd00cad166c4b6a`	completed	May 9, 2026, 4:58 p.m.

Created at: May 3, 2026, 4:16 p.m.