Triple
T12722472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R-9 missile |
E304018
|
entity |
| Predicate | typeDesignation |
P19278
|
FINISHED |
| Object |
R-9
R-9 is a Soviet-era intercontinental ballistic missile developed during the Cold War for long-range nuclear delivery.
|
E999739
|
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: R-9 | Statement: [R-9 missile, typeDesignation, R-9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R-9 Context triple: [R-9 missile, typeDesignation, R-9]
-
A.
R91
R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
-
B.
R9
R9 is the iconic nickname of Brazilian football legend Ronaldo Luís Nazário de Lima, renowned as one of the greatest strikers in the history of the sport.
-
C.
R99
R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
-
D.
R98
R98 is the hull number of the French aircraft carrier Clemenceau, a Cold War-era flagship of the French Navy.
-
E.
R-5
The R-5 is an early Sikorsky military helicopter developed during World War II, known for advancing rotary-wing design and serving in roles such as rescue and liaison.
- 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: R-9 Triple: [R-9 missile, typeDesignation, R-9]
Generated description
R-9 is a Soviet-era intercontinental ballistic missile developed during the Cold War for long-range nuclear delivery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R-9 Target entity description: R-9 is a Soviet-era intercontinental ballistic missile developed during the Cold War for long-range nuclear delivery.
-
A.
R91
R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
-
B.
R9
R9 is the iconic nickname of Brazilian football legend Ronaldo Luís Nazário de Lima, renowned as one of the greatest strikers in the history of the sport.
-
C.
R99
R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
-
D.
R98
R98 is the hull number of the French aircraft carrier Clemenceau, a Cold War-era flagship of the French Navy.
-
E.
R-5
The R-5 is an early Sikorsky military helicopter developed during World War II, known for advancing rotary-wing design and serving in roles such as rescue and liaison.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964133fe481909a44b8159ab8997b |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c841edc81909147d30c51471c47 |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67d64ed3481908d434c20796866f9 |
completed | May 2, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67e82e35081909c4b5fad7e941610 |
completed | May 2, 2026, 10:45 p.m. |
Created at: April 9, 2026, 5:24 p.m.