Triple
T1472768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Fatiha |
E27172
|
entity |
| Predicate | mentionsAttributeOfAllah |
P22343
|
FINISHED |
| Object | Lord of the worlds |
—
|
LITERAL 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: Lord of the worlds | Statement: [Surah Al-Fatiha, mentionsAttributeOfAllah, Lord of the worlds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentionsAttributeOfAllah Context triple: [Surah Al-Fatiha, mentionsAttributeOfAllah, Lord of the worlds]
-
A.
regardsAsOnlyProphetAfterMoses
Indicates that one entity considers another entity to be the sole legitimate prophet following Moses.
-
B.
honorificInIslam
Indicates that a particular honorific title or respectful form of address is used for someone within an Islamic religious or cultural context.
-
C.
relatedNameOfGod
chosen
Indicates that one entity is a name, title, or designation that refers to or is associated with God.
-
D.
emphasizesAttributeOfHolySpirit
Indicates that something highlights, underscores, or draws special attention to a particular attribute or quality of the Holy Spirit.
-
E.
bearerReligion
Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
- F. None of above.
Provenance (3 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5dc90e481908a4935f266bc7850 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.