Triple
T212980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sufism |
E4756
|
entity |
| Predicate | hasText |
P7166
|
FINISHED |
| Object | Quran |
E4743
|
NE 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: Quran | Statement: [Sufism, hasText, Quran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quran Context triple: [Sufism, hasText, Quran]
-
A.
Quran
chosen
The Quran is the central religious text of Islam, believed by Muslims to be the literal word of God as revealed to the Prophet Muhammad.
-
B.
Bible
The Bible is the central sacred scripture of Christianity, comprising the Old and New Testaments and serving as the foundational text for Christian belief and practice.
-
C.
Surah Al-Fatiha
Surah Al-Fatiha is the opening chapter of the Quran, consisting of seven verses that serve as a fundamental prayer and summary of Islamic faith and guidance.
-
D.
Torah
The Torah is the central and most sacred text of Judaism, comprising the foundational five books that outline Jewish law, teachings, and early history.
-
E.
Surah Al-Ma'idah
Surah Al-Ma'idah is the fifth chapter of the Quran, known for its detailed legal and ethical rulings, especially concerning dietary laws, contracts, and relations with the People of the Book.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c313d108190a65d3e939f961bef |
completed | Feb. 28, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35b636810819085f6c4e658ee578a |
completed | Feb. 28, 2026, 9:17 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.