Triple
T6517880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salah in Islam |
E148309
|
entity |
| Predicate | dailyPrayerName |
P71360
|
FINISHED |
| Object |
Asr
Asr is the late afternoon Islamic prayer, one of the five obligatory daily prayers observed by Muslims.
|
E605929
|
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: Asr | Statement: [Salah in Islam, dailyPrayerName, Asr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asr Context triple: [Salah in Islam, dailyPrayerName, Asr]
-
A.
Ash-Sharh
Ash-Sharh is the 94th chapter of the Qur’an, known for its message of spiritual relief and reassurance following hardship.
-
B.
Al-Ghashiyah
Al-Ghashiyah is the 88th chapter of the Qur’an, a Meccan surah that vividly depicts scenes of the Day of Judgment and contrasts the fate of the believers and disbelievers.
-
C.
Al-‘Asr
Al-‘Asr is the 103rd chapter of the Qur’an, a brief Meccan surah emphasizing the importance of faith, righteous deeds, truth, and patience in the fleeting span of human life.
-
D.
Assalah
Assalah is a residential and beachside neighborhood in the Egyptian resort town of Dahab on the Sinai Peninsula.
-
E.
Asmal
Asmal is a surname most notably associated with Kader Asmal, a prominent South African anti-apartheid activist, academic, and government minister.
- 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: Asr Triple: [Salah in Islam, dailyPrayerName, Asr]
Generated description
Asr is the late afternoon Islamic prayer, one of the five obligatory daily prayers observed by Muslims.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asr Target entity description: Asr is the late afternoon Islamic prayer, one of the five obligatory daily prayers observed by Muslims.
-
A.
Ash-Sharh
Ash-Sharh is the 94th chapter of the Qur’an, known for its message of spiritual relief and reassurance following hardship.
-
B.
Al-Ghashiyah
Al-Ghashiyah is the 88th chapter of the Qur’an, a Meccan surah that vividly depicts scenes of the Day of Judgment and contrasts the fate of the believers and disbelievers.
-
C.
Al-‘Asr
Al-‘Asr is the 103rd chapter of the Qur’an, a brief Meccan surah emphasizing the importance of faith, righteous deeds, truth, and patience in the fleeting span of human life.
-
D.
Assalah
Assalah is a residential and beachside neighborhood in the Egyptian resort town of Dahab on the Sinai Peninsula.
-
E.
Asmal
Asmal is a surname most notably associated with Kader Asmal, a prominent South African anti-apartheid activist, academic, and government minister.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad92c624819086dbb12b4f6b78d3 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d51821e481908df305ddbc91ca60 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6732d9c8190878b54902306b128 |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d830ed6c8190a39126d97a5246d3 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:44 p.m.