Triple

T7224691
Position Surface form Disambiguated ID Type / Status
Subject Al-Asma ul-Husna E150348 entity
Predicate includesName P13147 FINISHED
Object As-Sami‘
As-Sami‘ is one of the 99 Names of Allah in Islam, signifying “The All-Hearing,” the One who hears every sound, supplication, and secret without limitation.
 E650204 NE FINISHED

How this triple was built (4 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: As-Sami‘ | Statement: [Al-Asma ul-Husna, includesName, As-Sami‘]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: As-Sami‘
Context triple: [Al-Asma ul-Husna, includesName, As-Sami‘]
  • A. As-Samu
    As-Samu is a Palestinian town in the southern West Bank known for its agricultural character and proximity to the city of Hebron.
  • B. Al Mashun
    Al Mashun is the namesake of the Great Mosque of Medan, a prominent historic Islamic landmark in Medan, Indonesia.
  • C. Adh-Dhariyat
    Adh-Dhariyat is the 51st chapter (surah) of the Qur’an, known for its themes of divine power, resurrection, and the consequences of belief and disbelief.
  • D. Al-Yasa
    Al-Yasa is a prophet in Islamic tradition, identified with the biblical Elisha and revered for continuing the mission of earlier prophets in guiding his people to monotheism.
  • E. Taysir
    Taysir is an Arabic male given name meaning "facilitation" or "making things easier," commonly used across the Arab world.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: As-Sami‘
Triple: [Al-Asma ul-Husna, includesName, As-Sami‘]
Generated description
As-Sami‘ is one of the 99 Names of Allah in Islam, signifying “The All-Hearing,” the One who hears every sound, supplication, and secret without limitation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: As-Sami‘
Target entity description: As-Sami‘ is one of the 99 Names of Allah in Islam, signifying “The All-Hearing,” the One who hears every sound, supplication, and secret without limitation.
  • A. As-Samu
    As-Samu is a Palestinian town in the southern West Bank known for its agricultural character and proximity to the city of Hebron.
  • B. Al Mashun
    Al Mashun is the namesake of the Great Mosque of Medan, a prominent historic Islamic landmark in Medan, Indonesia.
  • C. Adh-Dhariyat
    Adh-Dhariyat is the 51st chapter (surah) of the Qur’an, known for its themes of divine power, resurrection, and the consequences of belief and disbelief.
  • D. Al-Yasa
    Al-Yasa is a prophet in Islamic tradition, identified with the biblical Elisha and revered for continuing the mission of earlier prophets in guiding his people to monotheism.
  • E. Taysir
    Taysir is an Arabic male given name meaning "facilitation" or "making things easier," commonly used across the Arab world.
  • F. None of above. chosen

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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9db51888190b8463d0003f334fa completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc11b48881909886a71f1b887789 completed March 28, 2026, 12:39 p.m.
NEDg Description generation batch_69c7cd47d4b88190a75c419c41d57cb9 completed March 28, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_69c7cdbdee8081908faadb9cdaa4df13 completed March 28, 2026, 12:46 p.m.
Created at: March 27, 2026, 2:54 p.m.