Triple

T27717826
Position Surface form Disambiguated ID Type / Status
Subject Marʿi al-Karmi E698868 entity
Predicate notableWork P4 FINISHED
Object Sharḥ Dalīl al-Ṭālib
Sharḥ Dalīl al-Ṭālib is a classical Hanbali fiqh commentary by the scholar Marʿi al-Karmi that elaborates and explains the legal rulings of the primer Dalīl al-Ṭālib.
 E1786791 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: Sharḥ Dalīl al-Ṭālib | Statement: [Marʿi al-Karmi, notableWork, Sharḥ Dalīl al-Ṭālib]
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: Sharḥ Dalīl al-Ṭālib
Triple: [Marʿi al-Karmi, notableWork, Sharḥ Dalīl al-Ṭālib]
Generated description
Sharḥ Dalīl al-Ṭālib is a classical Hanbali fiqh commentary by the scholar Marʿi al-Karmi that elaborates and explains the legal rulings of the primer Dalīl al-Ṭālib.

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_69ef591012dc8190a6f1ec994f9f7ff7 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63639a84c81909d700a539b458b42 completed May 2, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e4662b288190a6c88c8e7d9fc444 completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e4da65dc8190801cafed5fb95685 completed May 24, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a12e5a642e4819095c21cfe6a85f12f completed May 24, 2026, 11:48 a.m.
Created at: April 27, 2026, 3:05 p.m.