Triple

T31956906

Position	Surface form	Disambiguated ID	Type / Status
Subject	Al-Jami li-Ahkam al-Quran	`E815930`	entity
Predicate	schoolOfLawEmphasis	`P78579`	FINISHED
Object	Maliki fiqh Maliki fiqh is one of the four major Sunni Islamic legal schools, known for grounding its rulings in the practice of the people of Medina alongside the Qur’an and Hadith.	`E1985265`	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: Maliki fiqh | Statement: [Al-Jami li-Ahkam al-Quran, schoolOfLawEmphasis, Maliki fiqh]

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: Maliki fiqh
Triple: [Al-Jami li-Ahkam al-Quran, schoolOfLawEmphasis, Maliki fiqh]

Generated description

Maliki fiqh is one of the four major Sunni Islamic legal schools, known for grounding its rulings in the practice of the people of Medina alongside the Qur’an and Hadith.

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

Target predicate: schoolOfLawEmphasis
Context triple: [Al-Jami li-Ahkam al-Quran, schoolOfLawEmphasis, Maliki fiqh]

A. majorSchoolOfLaw
Indicates that a particular school of law is a primary or dominant legal tradition or framework associated with an entity.
B. schoolOfJurisprudence chosen
Indicates that one entity is a legal philosophy, doctrine, or interpretive framework to which the other entity (such as a jurist, decision, or institution) adheres or belongs.
C. legalEducationFocus
Indicates that a legal education program, course, or experience is primarily centered on a particular area, topic, or specialization within the field of law.
D. studiedLawIn
Indicates that a person received legal education or training at a particular institution or location.
E. studiedLawBy
Indicates that one entity pursued or received legal education under the instruction, supervision, or at the institution represented by the other entity.
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_69f348f4ec708190abbb2a7c3ed58844`	completed	April 30, 2026, 12:20 p.m.
NER	Named-entity recognition	`batch_69f6b49436b0819094e21603054d05d4`	completed	May 3, 2026, 2:36 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2e8a4ff3cc8190b085ba11c656c7cf`	completed	June 14, 2026, 11:02 a.m.
NEDg	Description generation	`batch_6a2e8af50dc08190bbc5f3e04528b335`	completed	June 14, 2026, 11:05 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2ea6a967dc8190af1d4e84ed34013b`	completed	June 14, 2026, 1:03 p.m.
PD	Predicate disambiguation	`batch_69f6b3a7bdb481908d16a32f49e38c2c`	completed	May 3, 2026, 2:32 a.m.

Created at: May 1, 2026, 12:08 a.m.