Triple
T7402087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة براءة |
E170772
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
الحافرة
الحافرة هو أحد الأسماء التي تُطلق على سورة التوبة في القرآن الكريم، ويُعرف أيضًا بسورة براءة.
|
E661773
|
NE FINISHED |
How this triple was built (4 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: الحافرة | Statement: [سورة براءة, hasName, الحافرة]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: الحافرة Context triple: [سورة براءة, hasName, الحافرة]
-
A.
العوجة
العوجة هي بلدة عراقية صغيرة قرب مدينة تكريت تشتهر بكونها مسقط رأس الرئيس العراقي الأسبق صدام حسين.
-
B.
The Hoe
The Hoe is a large, historic public park and promenade in Plymouth, England, offering panoramic views over Plymouth Sound and featuring landmarks such as Smeaton’s Tower lighthouse.
-
C.
The Wedge
The Wedge is a famous surf spot in Newport Beach, California, known for its powerful, shore-breaking waves that attract experienced bodyboarders and surfers.
-
D.
The Iron
The Iron is the English title of Surah Al-Hadid, the 57th chapter of the Qur’an, which emphasizes faith, charity, and the transient nature of worldly life.
-
E.
The Iron
The Iron is the nickname of Scunthorpe United F.C., an English professional football club traditionally associated with the town’s steel industry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: الحافرة Triple: [سورة براءة, hasName, الحافرة]
Generated description
الحافرة هو أحد الأسماء التي تُطلق على سورة التوبة في القرآن الكريم، ويُعرف أيضًا بسورة براءة.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: الحافرة Target entity description: الحافرة هو أحد الأسماء التي تُطلق على سورة التوبة في القرآن الكريم، ويُعرف أيضًا بسورة براءة.
-
A.
العوجة
العوجة هي بلدة عراقية صغيرة قرب مدينة تكريت تشتهر بكونها مسقط رأس الرئيس العراقي الأسبق صدام حسين.
-
B.
The Hoe
The Hoe is a large, historic public park and promenade in Plymouth, England, offering panoramic views over Plymouth Sound and featuring landmarks such as Smeaton’s Tower lighthouse.
-
C.
The Wedge
The Wedge is a famous surf spot in Newport Beach, California, known for its powerful, shore-breaking waves that attract experienced bodyboarders and surfers.
-
D.
The Iron
The Iron is the English title of Surah Al-Hadid, the 57th chapter of the Qur’an, which emphasizes faith, charity, and the transient nature of worldly life.
-
E.
The Iron
The Iron is the nickname of Scunthorpe United F.C., an English professional football club traditionally associated with the town’s steel industry.
- F. None of above. chosen
Provenance (5 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81110d7648190a8938db7061be454 |
completed | March 28, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c812b0b534819095dd2ae63ca7b2d0 |
completed | March 28, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8147b3f3c8190ada85c9e37bf5e2b |
completed | March 28, 2026, 5:48 p.m. |
Created at: March 27, 2026, 3:10 p.m.