Triple
T28901930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mistral |
E732970
|
entity |
| Predicate | belongsToSoCFamily |
P31539
|
FINISHED |
| Object | Apple A-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: Apple A-series | Statement: [Mistral, belongsToSoCFamily, Apple A-series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToSoCFamily Context triple: [Mistral, belongsToSoCFamily, Apple A-series]
-
A.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
B.
usedInSoCFamily
chosen
Indicates that something is employed or applicable within a particular System-on-Chip (SoC) family.
-
C.
belongsToDynamicalFamily
Indicates that one entity is a member of, or classified within, a specific dynamical family defined by shared motion or evolution characteristics.
-
D.
belongsToLegalFamily
Indicates that one entity is a member of, or is legally affiliated with, a particular legal family or legal system tradition.
-
E.
belongsToFlagFamily
Indicates that one flag is a member of, or classified under, a particular flag family or group.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 28, 2026, 8:03 a.m.