Triple
T634489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RCA 1802 microprocessor |
E15992
|
entity |
| Predicate | controlUnitType |
P17356
|
FINISHED |
| Object | hardwired |
—
|
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: hardwired | Statement: [RCA 1802 microprocessor, controlUnitType, hardwired]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlUnitType Context triple: [RCA 1802 microprocessor, controlUnitType, hardwired]
-
A.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
B.
hostsUnitType
Indicates that one entity serves as a location or platform that accommodates or contains a specified type of unit.
-
C.
subunitType
Indicates that one entity is a specific kind or classification of subunit within the structure or composition of another entity.
-
D.
typeOfControl
Indicates the specific manner or mechanism by which one entity exercises control or influence over another.
-
E.
componentUnit
Indicates that one entity functions as a constituent or sub-unit that forms part of a larger composite entity.
- F. None of above. chosen
Provenance (4 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee4ee8481908ad45405e3f3835c |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d0483908190a5ec42a7403c258e |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49defe58c8190bd39ef47c9f660a7 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.