Triple
T31821145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali ibn Husayn Zayn al-Abidin |
E812261
|
entity |
| Predicate | languageOfSupplications |
P200722
|
FINISHED |
| Object | Arabic |
—
|
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: Arabic | Statement: [Ali ibn Husayn Zayn al-Abidin, languageOfSupplications, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfSupplications Context triple: [Ali ibn Husayn Zayn al-Abidin, languageOfSupplications, Arabic]
-
A.
languageOfReligion
Indicates the language in which a particular religion is traditionally expressed, practiced, or documented.
-
B.
languageOfCreeds
Indicates the language in which formal creeds, confessions, or doctrinal statements are expressed or officially formulated.
-
C.
devotionalLanguageType
Indicates the type or category of language used in a devotional or religious context.
-
D.
languageOfWorship
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
E.
languageUsedInRituals
Indicates that a particular language is employed as the medium of speech, chant, or recitation during specific rituals or ceremonial practices.
- F. None of above. chosen
Provenance (4 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffa9677be08190852c8ef6c2545fed |
completed | May 9, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69ffa6570e2c8190a9d7b37f12b91d9a |
completed | May 9, 2026, 9:25 p.m. |
| PDg | Predicate description generation | batch_69ffa96638108190942dcfbe0516c37a |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 30, 2026, 11:45 p.m.