Triple
T10522432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An-Najm |
E248208
|
entity |
| Predicate | arabicName |
P6450
|
FINISHED |
| Object |
النجم
النجم هي سورة مكية من سور القرآن الكريم تُعرف بأسلوبها القوي في تقرير الوحي وتحذير المكذبين وذكر معراج النبي محمد صلى الله عليه وسلم.
|
E869234
|
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: النجم | Statement: [An-Najm, arabicName, النجم]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: النجم Context triple: [An-Najm, arabicName, النجم]
-
A.
Ay yıldız
Ay yıldız is the crescent-and-star emblem that serves as the central symbol of the Turkish national flag and a broader icon of Turkey.
-
B.
Stellar
"Stellar" is a popular alternative rock song by the American band Incubus, known for its atmospheric sound and romantic, space-themed lyrics.
-
C.
The Star
The Star is a 1952 drama film starring Bette Davis as a fading Hollywood actress struggling with the loss of her fame and career.
-
D.
The Star
The Star was a late 19th-century London evening newspaper known for its sensational and often moralistic coverage of crime and scandal.
-
E.
The Star
"The Star" is a science fiction short story by H. G. Wells that depicts the catastrophic approach of a celestial body toward Earth and explores humanity’s varied reactions to impending global disaster.
- 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: النجم Triple: [An-Najm, arabicName, النجم]
Generated description
النجم هي سورة مكية من سور القرآن الكريم تُعرف بأسلوبها القوي في تقرير الوحي وتحذير المكذبين وذكر معراج النبي محمد صلى الله عليه وسلم.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: النجم Target entity description: النجم هي سورة مكية من سور القرآن الكريم تُعرف بأسلوبها القوي في تقرير الوحي وتحذير المكذبين وذكر معراج النبي محمد صلى الله عليه وسلم.
-
A.
Ay yıldız
Ay yıldız is the crescent-and-star emblem that serves as the central symbol of the Turkish national flag and a broader icon of Turkey.
-
B.
Stellar
"Stellar" is a popular alternative rock song by the American band Incubus, known for its atmospheric sound and romantic, space-themed lyrics.
-
C.
The Star
The Star is a 1952 drama film starring Bette Davis as a fading Hollywood actress struggling with the loss of her fame and career.
-
D.
The Star
The Star was a late 19th-century London evening newspaper known for its sensational and often moralistic coverage of crime and scandal.
-
E.
The Star
"The Star" is a science fiction short story by H. G. Wells that depicts the catastrophic approach of a celestial body toward Earth and explores humanity’s varied reactions to impending global disaster.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509e0907481908807dd99980cba1f |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e119fe4819085e5c1c6e71e6260 |
completed | April 10, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_69d9107e8b94819086ebba1675a0db54 |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911a16b1481909197b00c30de48c4 |
completed | April 10, 2026, 3:05 p.m. |
Created at: April 6, 2026, 12:29 p.m.