Triple

T25288167
Position Surface form Disambiguated ID Type / Status
Subject al-Furuq E634004 entity
Predicate alternativeName P39 FINISHED
Object al-Furuq fi al-qawaʿid al-fiqhiyyah
Al-Furūq fī al-qawāʿid al-fiqhiyyah is a classical Islamic legal treatise that systematically analyzes and distinguishes between closely related juristic principles within the framework of Islamic jurisprudence.
E1670646 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: al-Furuq fi al-qawaʿid al-fiqhiyyah | Statement: [al-Furuq, alternativeName, al-Furuq fi al-qawaʿid al-fiqhiyyah]
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: al-Furuq fi al-qawaʿid al-fiqhiyyah
Triple: [al-Furuq, alternativeName, al-Furuq fi al-qawaʿid al-fiqhiyyah]
Generated description
Al-Furūq fī al-qawāʿid al-fiqhiyyah is a classical Islamic legal treatise that systematically analyzes and distinguishes between closely related juristic principles within the framework of Islamic jurisprudence.

Provenance (5 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_69e75a9402fc81909362ca85277c06d9 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f48e0b00ec8190ae6c45f2ce24b727 completed May 1, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a106806e8508190a2c6b9643ea9e4fc completed May 22, 2026, 2:28 p.m.
NEDg Description generation batch_6a10688409f08190b8bcc73b7a02b6b8 completed May 22, 2026, 2:30 p.m.
NED2 Entity disambiguation (via description) batch_6a106999f18c819085d27328b7f8f79e completed May 22, 2026, 2:35 p.m.
Created at: April 21, 2026, 1:19 p.m.