Triple

T25493365
Position Surface form Disambiguated ID Type / Status
Subject al-Kashshāf E638891 entity
Predicate influenceOn P1994 FINISHED
Object al-Nasafī’s Madārik al-tanzīl
al-Nasafī’s Madārik al-tanzīl is a widely used Sunni Qur’anic exegesis that systematizes earlier linguistic and theological insights into a concise, accessible tafsīr favored in the Māturīdī tradition.
 E1686409 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-Nasafī’s Madārik al-tanzīl | Statement: [al-Kashshāf, influenceOn, al-Nasafī’s Madārik al-tanzīl]
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-Nasafī’s Madārik al-tanzīl
Triple: [al-Kashshāf, influenceOn, al-Nasafī’s Madārik al-tanzīl]
Generated description
al-Nasafī’s Madārik al-tanzīl is a widely used Sunni Qur’anic exegesis that systematizes earlier linguistic and theological insights into a concise, accessible tafsīr favored in the Māturīdī tradition.

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_69e75dbbd2a88190b70e1e645de14b9a completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f7a80f9c8190a672355c354e25bf completed May 2, 2026, 1:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b74056608190b35ac23dae8a1494 completed May 22, 2026, 8:06 p.m.
NEDg Description generation batch_6a10b82504908190904c1ed84610e0c4 completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b97dedd48190858687f050f15f7b completed May 22, 2026, 8:15 p.m.
Created at: April 21, 2026, 2:39 p.m.