Triple
T7032705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldmont |
E163307
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Goldmont Plus |
E163308
|
NE FINISHED |
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: Goldmont Plus | Statement: [Goldmont, successor, Goldmont Plus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goldmont Plus Context triple: [Goldmont, successor, Goldmont Plus]
-
A.
Goldmont Plus
chosen
Goldmont Plus is an Intel low-power CPU microarchitecture used in later Atom processors, offering improved performance and efficiency over its Goldmont predecessor.
-
B.
Gold Point
Gold Point is a historic Nevada mining ghost town known for its preserved old buildings and Wild West heritage.
-
C.
Goldmont
Goldmont is an Intel low-power CPU microarchitecture designed to improve performance and efficiency in Atom-based processors for mobile and embedded devices.
-
D.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
-
E.
Altinum
Altinum was an important ancient settlement in northeastern Italy, serving as a key Venetic and later Roman port and trading center near the Venetian lagoon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e2102f8c819080c983319307846a |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7759c8e408190a7d457e77a44ee26 |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:36 p.m.