Triple
T12374689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Mursalat |
E295091
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | An-Naba |
E295802
|
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-Naba | Statement: [Al-Mursalat, followedBy, An-Naba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An-Naba Context triple: [Al-Mursalat, followedBy, An-Naba]
-
A.
An-Naba
chosen
An-Naba is the 78th chapter of the Qur’an, known for its vivid depiction of the Day of Resurrection and the consequences of belief and disbelief.
-
B.
Al-Bar’ah
Al-Bar’ah is a traditional Omani folk dance characterized by rhythmic movements, chanting, and the use of swords or daggers, often performed at celebrations and cultural events.
-
C.
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.
-
D.
Al-Azza
Al-Azza is a Palestinian refugee camp located near Bethlehem in the West Bank, known for its dense population and longstanding refugee community.
-
E.
Al-Abwa
Al-Abwa is a small village in western Saudi Arabia historically noted as the place where Aminah bint Wahb, the mother of the Prophet Muhammad, died and was buried.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa8ca7c8190b3f8e9c2ec23e837 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac1e82c8190abb46ca5799e6680 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.