Triple
T14284497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Striking Hour |
E354132
|
entity |
| Predicate | openingWord |
P829
|
FINISHED |
| Object | القارعة |
E1090656
|
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: القارعة | Statement: [The Striking Hour, openingWord, القارعة]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: القارعة Context triple: [The Striking Hour, openingWord, القارعة]
-
A.
العوجة
العوجة هي بلدة عراقية صغيرة قرب مدينة تكريت تشتهر بكونها مسقط رأس الرئيس العراقي الأسبق صدام حسين.
-
B.
ٱلْقَارِعَة
chosen
ٱلْقَارِعَة is the Arabic name of the 101st chapter (Surah Al-Qāriʿah) of the Qur’an, which vividly describes the Day of Judgment and its overwhelming impact on creation.
-
C.
الروشة
الروشة حي ساحلي شهير في بيروت اللبنانية معروف بصخور الروشة البارزة في البحر ومقاهيه وإطلالته البحرية السياحية.
-
D.
La Pila
La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
-
E.
The Kingfish
The Kingfish was the populist, authoritarian Louisiana governor and U.S. senator Huey P. Long, known for his radical “Share Our Wealth” program during the Great Depression.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697d9fd08190b0cd7a6a6737ba03 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd467f3b3081908261261301674c4e |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:10 a.m.