Triple
T13320067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Threadripper |
E317290
|
entity |
| Predicate | hasSocket |
P109512
|
FINISHED |
| Object |
sTR5
sTR5 is AMD’s high-end desktop CPU socket designed to support Ryzen Threadripper processors with advanced power and I/O capabilities.
|
E1032916
|
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: sTR5 | Statement: [Threadripper, hasSocket, sTR5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sTR5 Context triple: [Threadripper, hasSocket, sTR5]
-
A.
TRST
TRST is an optional active-low reset signal used in JTAG (IEEE 1149.1) interfaces to asynchronously reset the test access port controller.
-
B.
STRI
STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
-
C.
S5
S5 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
-
D.
S5
S5 is the symmetric group on five elements, a fundamental non-abelian finite group that plays a key role in permutation group theory and Galois theory.
-
E.
S5
S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
- 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: sTR5 Triple: [Threadripper, hasSocket, sTR5]
Generated description
sTR5 is AMD’s high-end desktop CPU socket designed to support Ryzen Threadripper processors with advanced power and I/O capabilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: sTR5 Target entity description: sTR5 is AMD’s high-end desktop CPU socket designed to support Ryzen Threadripper processors with advanced power and I/O capabilities.
-
A.
TRST
TRST is an optional active-low reset signal used in JTAG (IEEE 1149.1) interfaces to asynchronously reset the test access port controller.
-
B.
STRI
STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
-
C.
S5
S5 is the symmetric group on five elements, a fundamental non-abelian finite group that plays a key role in permutation group theory and Galois theory.
-
D.
S5
S5 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
-
E.
S5
S5 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting key cities and suburbs in the area.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd4cb008190af99c4856e76ac08 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716ee695c81909ffeeb0901ee66c1 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717f4d80c8190a1a95c0f2c83c563 |
completed | May 3, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718b994188190b273cc6116919c22 |
completed | May 3, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:29 p.m.