Triple
T25932393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zen |
E653467
|
entity |
| Predicate | firstServerProducts |
P74570
|
FINISHED |
| Object | EPYC 7001 series |
—
|
NE NERFINISHED |
How this triple was built (2 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: EPYC 7001 series | Statement: [Zen, firstServerProducts, EPYC 7001 series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstServerProducts Context triple: [Zen, firstServerProducts, EPYC 7001 series]
-
A.
firstProducts
chosen
Indicates that the related entities are the initial or earliest products in a sequence, collection, or set.
-
B.
firstDevices
Indicates that the related entities are devices that occur or are used first in a sequence, order, or process relative to other devices.
-
C.
typicalServerDevice
Indicates that the subject is a device that is commonly or characteristically used as a server in typical scenarios.
-
D.
firstProductLaunch
Indicates that an entity is carrying out or associated with its initial product introduction to the market.
-
E.
firstProduction
Indicates that an entity is the earliest or initial production or manufactured instance associated with another entity.
- F. None of above.
Provenance (3 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: April 22, 2026, 8:37 a.m.