Triple
T9244354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motorola 68030 |
E222148
|
entity |
| Predicate | packageTypes |
P28919
|
FINISHED |
| Object | PGA |
—
|
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: PGA | Statement: [Motorola 68030, packageTypes, PGA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packageTypes Context triple: [Motorola 68030, packageTypes, PGA]
-
A.
packageType
chosen
Indicates the classification or category of packaging associated with an item or shipment.
-
B.
exportsType
Indicates that one entity sends or sells a particular type or category of goods, services, or resources to another entity across a boundary (such as international borders).
-
C.
caseTypes
Indicates the types or categories of cases associated with or applicable to an entity or situation.
-
D.
codeType
Indicates the classification or category assigned to a particular code within a coding or encoding system.
-
E.
theoryType
Indicates the classification relationship that specifies what type or category of theory an entity belongs to.
- 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cd03edd37481908ea2f6dac354f04f |
completed | April 1, 2026, 11:39 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4765648190aa9445c4a22dc471 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:30 p.m.