Triple
T2858386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Mutaffifin |
E63257
|
entity |
| Predicate | mentions |
P831
|
FINISHED |
| Object |
Illiyyin
Illiyyin is an exalted register in Islamic belief that records the deeds and status of the righteous in the highest realms of heaven.
|
E305101
|
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: Illiyyin | Statement: [Surah Al-Mutaffifin, mentions, Illiyyin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Illiyyin Context triple: [Surah Al-Mutaffifin, mentions, Illiyyin]
-
A.
Iller
The Iller is a river in southern Germany that flows through Bavaria and Baden-Württemberg before joining the Danube.
-
B.
Osnos
Osnos is a surname most notably associated with American journalist and author Peter Osnos and his family.
-
C.
Fiume
Fiume is the historical name for the Adriatic port city now known as Rijeka, located in present-day Croatia.
-
D.
Sioule
The Sioule is a river in central France that flows through the Auvergne region before joining the Allier River.
-
E.
Ila
Ila is a central fictional character in the 2014 biblical epic film "Noah," portrayed as Noah's adopted daughter and Shem's wife, whose personal journey and relationships drive much of the movie's emotional narrative.
- 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: Illiyyin Triple: [Surah Al-Mutaffifin, mentions, Illiyyin]
Generated description
Illiyyin is an exalted register in Islamic belief that records the deeds and status of the righteous in the highest realms of heaven.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Illiyyin Target entity description: Illiyyin is an exalted register in Islamic belief that records the deeds and status of the righteous in the highest realms of heaven.
-
A.
Iller
The Iller is a river in southern Germany that flows through Bavaria and Baden-Württemberg before joining the Danube.
-
B.
Osnos
Osnos is a surname most notably associated with American journalist and author Peter Osnos and his family.
-
C.
Fiume
Fiume is the historical name for the Adriatic port city now known as Rijeka, located in present-day Croatia.
-
D.
Sioule
The Sioule is a river in central France that flows through the Auvergne region before joining the Allier River.
-
E.
Ila
Ila is a central fictional character in the 2014 biblical epic film "Noah," portrayed as Noah's adopted daughter and Shem's wife, whose personal journey and relationships drive much of the movie's emotional narrative.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf89d3b4819086936f26d8683a2a |
completed | March 7, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d91f6448190866f6ee0491041cf |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b01e45f6e481908665e0961c3a3778 |
completed | March 10, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0224832108190be252c0245d588d2 |
completed | March 10, 2026, 1:53 p.m. |
Created at: March 6, 2026, 10:02 p.m.