Triple

T26010219
Position Surface form Disambiguated ID Type / Status
Subject Al-Asmariya Islamic University E646875 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Islamic Call (Da‘wah)
The Faculty of Islamic Call (Da‘wah) is an academic division specializing in the study and training of Islamic preaching, outreach, and religious guidance.
 E1705871 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: Faculty of Islamic Call (Da‘wah) | Statement: [Al-Asmariya Islamic University, hasFaculty, Faculty of Islamic Call (Da‘wah)]
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: Faculty of Islamic Call (Da‘wah)
Triple: [Al-Asmariya Islamic University, hasFaculty, Faculty of Islamic Call (Da‘wah)]
Generated description
The Faculty of Islamic Call (Da‘wah) is an academic division specializing in the study and training of Islamic preaching, outreach, and religious guidance.

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_69e77e89d5848190b54352cdb74f6029 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f605b4fa288190981533f604eea508 completed May 2, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1107a307e481909fda17e16e35911e completed May 23, 2026, 1:49 a.m.
NEDg Description generation batch_6a11082bcf9c8190a80f0ed23b79a823 completed May 23, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_6a110c2ac828819088a7a9feb579e6e6 completed May 23, 2026, 2:08 a.m.
Created at: April 22, 2026, 9:01 a.m.