Triple
T2777054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah An-Nazi'at |
E61597
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | An-Nazi‘at |
E296970
|
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: An-Nazi‘at | Statement: [Surah An-Nazi'at, name, An-Nazi‘at]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An-Nazi‘at Context triple: [Surah An-Nazi'at, name, An-Nazi‘at]
-
A.
An-Nazi'at
chosen
An-Nazi'at is the 79th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the fate of past nations.
-
B.
Nukat-us-Shuara
Nukat-us-Shuara is a biographical and critical anthology of poets compiled by the renowned Urdu poet Mir Taqi Mir.
-
C.
النَّازِعَات
النَّازِعَات هو اسم السورة التاسعة والسبعين من القرآن الكريم، وهي سورة مكية تتناول مشاهد القيامة وأهوالها وتأكيد البعث والجزاء.
-
D.
Nzaman
Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
-
E.
Multazam
Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd82a864819082bd1181a16d5208 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc64f94208190b9b8da1fdf6252cc |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:57 p.m.