Triple
T9428247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utopia |
E227307
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Paradisa
Paradisa is a fictional idealized realm often depicted as a perfect, blissful paradise within the broader concept of Utopia.
|
E800066
|
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: Paradisa | Statement: [Utopia, hasPart, Paradisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paradisa Context triple: [Utopia, hasPart, Paradisa]
-
A.
Paraiso
Paraiso is a former Canal Zone town in Panama that historically housed workers and facilities supporting the operation and maintenance of the nearby Panama Canal.
-
B.
Paradise
Paradise is the eternal, blissful abode in the hereafter promised by Allah to the righteous in Islamic belief.
-
C.
Paradise
Paradise is a photographic series by German artist Thomas Struth that features large-scale, detailed images of lush, unspoiled natural landscapes.
-
D.
Paradise
Paradise is a popular high-elevation area on the south slope of Mount Rainier known for its spectacular wildflower meadows, hiking trails, and panoramic mountain views.
-
E.
Paradise
"Paradise" is a popular song composed by Nacio Herb Brown, known for its classic Tin Pan Alley style and enduring presence in early American popular music.
- 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: Paradisa Triple: [Utopia, hasPart, Paradisa]
Generated description
Paradisa is a fictional idealized realm often depicted as a perfect, blissful paradise within the broader concept of Utopia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paradisa Target entity description: Paradisa is a fictional idealized realm often depicted as a perfect, blissful paradise within the broader concept of Utopia.
-
A.
Paraiso
Paraiso is a former Canal Zone town in Panama that historically housed workers and facilities supporting the operation and maintenance of the nearby Panama Canal.
-
B.
Paradise
Paradise is the eternal, blissful abode in the hereafter promised by Allah to the righteous in Islamic belief.
-
C.
Paradise
"Paradise" is a critically acclaimed novel by Nobel Prize–winning author Abdulrazak Gurnah that explores colonialism, displacement, and coming-of-age in early 20th-century East Africa.
-
D.
Paradise
Paradise is a photographic series by German artist Thomas Struth that features large-scale, detailed images of lush, unspoiled natural landscapes.
-
E.
Paradise
"Paradise" is a song that follows "Luv U Better" in the discography of the artist who released both tracks.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c92ee848190baa41fe91a131305 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11034369c81908992e268e66d7833 |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d1149f6f6c81908ea2fce6f29ccb64 |
completed | April 4, 2026, 1:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d115168d748190909687d39fb79e24 |
completed | April 4, 2026, 1:41 p.m. |
Created at: March 30, 2026, 7:49 p.m.