Triple
T12501728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abasa |
E298842
|
entity |
| Predicate | precededBy |
P97
|
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: [Abasa, precededBy, An-Nazi'at]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An-Nazi'at Context triple: [Abasa, precededBy, 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.
Neshnabémwen
Neshnabémwen is the Indigenous language of the Potawatomi people, belonging to the Algonquian language family and traditionally spoken in the Great Lakes region of North America.
-
C.
an-Naqi
an-Naqi is an honorific title meaning "the Pure," most famously associated with the tenth Shia Imam, Ali al-Hadi.
-
D.
النَّازِعَات
النَّازِعَات هو اسم السورة التاسعة والسبعين من القرآن الكريم، وهي سورة مكية تتناول مشاهد القيامة وأهوالها وتأكيد البعث والجزاء.
-
E.
An-Naziat
An-Naziat is the 79th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the fate of past nations.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfbb2a48190a231b02cfa990565 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb38e048190bbc96244b71953b6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.