Triple
T21570518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPC6128 |
E532268
|
entity |
| Predicate | parallelPort |
P1763
|
FINISHED |
| Object | Centronics printer port |
—
|
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: Centronics printer port | Statement: [CPC6128, parallelPort, Centronics printer port]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parallelPort Context triple: [CPC6128, parallelPort, Centronics printer port]
-
A.
primaryInputOutput
Indicates that one entity serves as the main source or destination of data, signals, or materials for another entity within a process or system.
-
B.
port
chosen
Indicates a relationship where one entity serves as a harbor, access point, or interface through which another entity can enter, exit, or connect.
-
C.
portSystem
Indicates that one system serves as a port or interface through which another system connects, communicates, or transfers data or resources.
-
D.
portConfiguration
Indicates how ports are arranged, assigned, or set up for use within a system or device.
-
E.
portConnections
Indicates that there exists a connection or linkage between two ports or interfaces.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cc5c448190887a836f577d01ba |
completed | April 27, 2026, 4:45 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:30 p.m.