Triple
T16680756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radak |
E405331
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Radaq
Radaq is an alternative transliteration of "Radak," the acronym for Rabbi David Kimhi, a prominent medieval Jewish biblical commentator, grammarian, and lexicographer.
|
E1227606
|
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: Radaq | Statement: [Radak, hasName, Radaq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radaq Context triple: [Radak, hasName, Radaq]
-
A.
Raidurg
Raidurg is a rapidly developing commercial and residential neighborhood in Hyderabad’s IT hub, known for its proximity to major tech parks and infrastructure in the Cyberabad area.
-
B.
Ravda
Ravda is a Bulgarian Black Sea coastal village and resort known for its beaches and proximity to the larger resorts of Nessebar and Sunny Beach.
-
C.
Rudsar
Rudsar is a coastal city in northern Iran known for its lush landscapes, rice paddies, and proximity to the Caspian Sea.
-
D.
Raka
Raka is an individual known primarily through their personal relationship with Koki.
-
E.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
- 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: Radaq Triple: [Radak, hasName, Radaq]
Generated description
Radaq is an alternative transliteration of "Radak," the acronym for Rabbi David Kimhi, a prominent medieval Jewish biblical commentator, grammarian, and lexicographer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Radaq Target entity description: Radaq is an alternative transliteration of "Radak," the acronym for Rabbi David Kimhi, a prominent medieval Jewish biblical commentator, grammarian, and lexicographer.
-
A.
Raidurg
Raidurg is a rapidly developing commercial and residential neighborhood in Hyderabad’s IT hub, known for its proximity to major tech parks and infrastructure in the Cyberabad area.
-
B.
Ravda
Ravda is a Bulgarian Black Sea coastal village and resort known for its beaches and proximity to the larger resorts of Nessebar and Sunny Beach.
-
C.
Rudsar
Rudsar is a coastal city in northern Iran known for its lush landscapes, rice paddies, and proximity to the Caspian Sea.
-
D.
Raka
Raka is an individual known primarily through their personal relationship with Koki.
-
E.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6f5cf481909e7628bbaa884e5a |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a404f448190a9dc7831382ffcdc |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008aed0bfc8190886b6a2e08a885b9 |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008bc0e57c8190838ec383f2a1b52c |
completed | May 10, 2026, 1:44 p.m. |
Created at: April 10, 2026, 5:19 a.m.