Triple
T35053641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emotion Engine |
E1011399
|
entity |
| Predicate | mainCoreType |
P50150
|
FINISHED |
| Object | MIPS-based CPU core |
—
|
LITERAL 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: MIPS-based CPU core | Statement: [Emotion Engine, mainCoreType, MIPS-based CPU core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCoreType Context triple: [Emotion Engine, mainCoreType, MIPS-based CPU core]
-
A.
typicalCoreType
Indicates that something is a standard or characteristic core type within a given classification or system.
-
B.
mainContentType
Indicates the primary type or category of content associated with an entity or resource.
-
C.
primaryKernelType
Indicates that one entity is the main or default kernel type associated with another entity.
-
D.
mainTreeType
Indicates the predominant type of tree that characterizes or dominates a given area, object, or context.
-
E.
coreUnitType
chosen
Indicates that one entity is classified as the primary or fundamental type/category to which another entity (a core unit) belongs.
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:01 p.m.