Triple
T16420192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DS 4 |
E398795
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
DS 4 Opera
DS 4 Opera is a special, more luxurious trim level of the DS 4 compact premium car, distinguished by enhanced comfort, design, and equipment features.
|
E1211493
|
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: DS 4 Opera | Statement: [DS 4, hasVariant, DS 4 Opera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DS 4 Opera Context triple: [DS 4, hasVariant, DS 4 Opera]
-
A.
Opera 12
Opera 12 is a legacy version of the Opera web browser known for its speed, customizability, and use of the Presto rendering engine before Opera transitioned to Chromium.
-
B.
Opera 10
Opera 10 is a version of the Opera web browser known for its speed, standards compliance, and built-in features like tabbed browsing, email, and integrated search.
-
C.
Monte Carlo Opera
Monte Carlo Opera is a prestigious opera house in Monaco renowned for hosting significant early 20th-century opera premieres and performances.
-
D.
Opus
Opus is a versatile, royalty-free audio codec designed for interactive speech and high-fidelity music streaming over the internet.
-
E.
Opus
Opus was the chief city of the ancient Greek region of Eastern Locris, known as Opuntian Locris.
- 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: DS 4 Opera Triple: [DS 4, hasVariant, DS 4 Opera]
Generated description
DS 4 Opera is a special, more luxurious trim level of the DS 4 compact premium car, distinguished by enhanced comfort, design, and equipment features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DS 4 Opera Target entity description: DS 4 Opera is a special, more luxurious trim level of the DS 4 compact premium car, distinguished by enhanced comfort, design, and equipment features.
-
A.
Opera 12
Opera 12 is a legacy version of the Opera web browser known for its speed, customizability, and use of the Presto rendering engine before Opera transitioned to Chromium.
-
B.
Opera 10
Opera 10 is a version of the Opera web browser known for its speed, standards compliance, and built-in features like tabbed browsing, email, and integrated search.
-
C.
Monte Carlo Opera
Monte Carlo Opera is a prestigious opera house in Monaco renowned for hosting significant early 20th-century opera premieres and performances.
-
D.
Opus
Opus is a versatile, royalty-free audio codec designed for interactive speech and high-fidelity music streaming over the internet.
-
E.
Opus
Opus was the chief city of the ancient Greek region of Eastern Locris, known as Opuntian Locris.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f5c1bc8190a679f35bd6c0bc97 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6e882c81908fae034f1b75b7ee |
completed | May 10, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a003ed0bc7c8190b50e5f91cbdde6b7 |
completed | May 10, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003f5eb85c81909aa101efccff7b86 |
completed | May 10, 2026, 8:18 a.m. |
Created at: April 10, 2026, 5:09 a.m.