Triple
T5504581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of Sant'Apollinare in Classe |
E144408
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Classe
Classe is a historic coastal area near Ravenna in Italy, renowned for its early Christian monuments and archaeological remains.
|
E529284
|
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: Classe | Statement: [Basilica of Sant'Apollinare in Classe, locatedIn, Classe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Classe Context triple: [Basilica of Sant'Apollinare in Classe, locatedIn, Classe]
-
A.
Clase
Clase is a residential district and community within the City and County of Swansea in South Wales.
-
B.
Klas
Klas is a Scandinavian given name, commonly used as a variant of Nicholas.
-
C.
Class
Class is a British science fiction television series set in the Doctor Who universe, focusing on a group of students at Coal Hill Academy who face alien threats and personal challenges.
-
D.
Y class
Y class is the standard economy fare class used by airlines, typically representing full-fare economy tickets with the least restrictions on changes and refunds.
-
E.
CLAS
CLAS is a major particle detector at the Thomas Jefferson National Accelerator Facility used for studying the structure and interactions of subatomic particles.
- 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: Classe Triple: [Basilica of Sant'Apollinare in Classe, locatedIn, Classe]
Generated description
Classe is a historic coastal area near Ravenna in Italy, renowned for its early Christian monuments and archaeological remains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Classe Target entity description: Classe is a historic coastal area near Ravenna in Italy, renowned for its early Christian monuments and archaeological remains.
-
A.
Clase
Clase is a residential district and community within the City and County of Swansea in South Wales.
-
B.
Klas
Klas is a Scandinavian given name, commonly used as a variant of Nicholas.
-
C.
Class
Class is a British science fiction television series set in the Doctor Who universe, focusing on a group of students at Coal Hill Academy who face alien threats and personal challenges.
-
D.
Y class
Y class is the standard economy fare class used by airlines, typically representing full-fare economy tickets with the least restrictions on changes and refunds.
-
E.
CLAS
CLAS is a major particle detector at the Thomas Jefferson National Accelerator Facility used for studying the structure and interactions of subatomic particles.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f0d21848190ae8c41561eca6342 |
completed | March 22, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027ae9a448190a927d39d30f0134b |
completed | March 22, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c037fca93881908d4d7403bfb1f866 |
completed | March 22, 2026, 6:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03898327c8190bd3b889bd7663003 |
completed | March 22, 2026, 6:44 p.m. |
Created at: March 22, 2026, 3:32 p.m.