Triple

T26159544
Position Surface form Disambiguated ID Type / Status
Subject al-Wasit fi al-Madhhab E660069 entity
Predicate partOfSeries P1761 FINISHED
Object al-Basit–al-Wasit–al-Wajiz trilogy
The al-Basit–al-Wasit–al-Wajiz trilogy is a renowned series of Shafi'i Islamic legal manuals by Imam al-Ghazali that present the school’s jurisprudence in progressively abridged forms.
 E1711615 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-Basit–al-Wasit–al-Wajiz trilogy | Statement: [al-Wasit fi al-Madhhab, partOfSeries, al-Basit–al-Wasit–al-Wajiz trilogy]
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-Basit–al-Wasit–al-Wajiz trilogy
Triple: [al-Wasit fi al-Madhhab, partOfSeries, al-Basit–al-Wasit–al-Wajiz trilogy]
Generated description
The al-Basit–al-Wasit–al-Wajiz trilogy is a renowned series of Shafi'i Islamic legal manuals by Imam al-Ghazali that present the school’s jurisprudence in progressively abridged forms.

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_69ee5bc5a9908190899d39ce95c6d215 completed April 26, 2026, 6:39 p.m.
NER Named-entity recognition batch_69f60c1487748190beb5bcdfe11837f1 completed May 2, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a112773d678819099f12bb1b53a2beb completed May 23, 2026, 4:05 a.m.
NEDg Description generation batch_6a1137fb9940819081580bd1a0b529ae completed May 23, 2026, 5:15 a.m.
NED2 Entity disambiguation (via description) batch_6a113910b5bc8190a042ede6fab351d6 completed May 23, 2026, 5:20 a.m.
Created at: April 26, 2026, 8:29 p.m.