Triple
T18903678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jariri school |
E462398
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Sunnah |
—
|
NE NERFINISHED |
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: Sunnah | Statement: [Jariri school, follows, Sunnah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunnah Context triple: [Jariri school, follows, Sunnah]
-
A.
Sunnah
chosen
The Sunnah is the body of traditions, practices, and sayings of the Prophet Muhammad that serves as a primary source of Islamic law and guidance alongside the Qur’an.
-
B.
Minhaj al-Sunnah al-Nabawiyyah
Minhaj al-Sunnah al-Nabawiyyah is a major Sunni Islamic theological work by Ibn Taymiyyah that systematically refutes Shi'a doctrines and defends orthodox Sunni creed.
-
C.
Tibb al-Nabawi
Tibb al-Nabawi is a body of traditional Islamic medicine based on the health-related teachings, practices, and sayings attributed to the Prophet Muhammad.
-
D.
Kitab al-Sunnah
Kitab al-Sunnah is a major thematic section within the hadith collection Sunan Ibn Majah that focuses on narrations about Islamic creed and foundational beliefs.
-
E.
Khayaban-e-Bukhari
Khayaban-e-Bukhari is a prominent commercial and residential thoroughfare in Karachi, Pakistan, known for its upscale boutiques, eateries, and modern urban development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52b07c08190be0db22826462ae3 |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.