Triple
T2756361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah An-Naba |
E61110
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
An Naba
An Naba is the Arabic name of Surah An-Naba, a chapter of the Qur’an that discusses the Day of Resurrection and the signs of God’s power.
|
E295803
|
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: An Naba | Statement: [Surah An-Naba, name, An Naba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An Naba Context triple: [Surah An-Naba, name, An Naba]
-
A.
Naba-Nita
Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
-
B.
Nobol
Nobol is a small town and canton in coastal Ecuador known for its religious significance as the birthplace of Saint Narcisa de Jesús.
-
C.
Anogi
Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
-
D.
Nakanamanga
Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
-
E.
Miyabi
Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
- 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: An Naba Triple: [Surah An-Naba, name, An Naba]
Generated description
An Naba is the Arabic name of Surah An-Naba, a chapter of the Qur’an that discusses the Day of Resurrection and the signs of God’s power.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: An Naba Target entity description: An Naba is the Arabic name of Surah An-Naba, a chapter of the Qur’an that discusses the Day of Resurrection and the signs of God’s power.
-
A.
Naba-Nita
Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
-
B.
Nobol
Nobol is a small town and canton in coastal Ecuador known for its religious significance as the birthplace of Saint Narcisa de Jesús.
-
C.
Anogi
Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
-
D.
Nakanamanga
Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
-
E.
Miyabi
Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8a292c8190ab3982434805241a |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbdd509c8190ac62aa6d50dea3a6 |
completed | March 10, 2026, 6:36 a.m. |
| NEDg | Description generation | batch_69afbce1d3d08190bb23a96e29d2b289 |
completed | March 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd393adc8190a37967abceff87ed |
completed | March 10, 2026, 6:42 a.m. |
Created at: March 6, 2026, 9:56 p.m.