Triple
T29543767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice |
E749575
|
entity |
| Predicate | connectsMemoryAnd |
P131655
|
FINISHED |
| Object | peripherals |
—
|
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: peripherals | Statement: [Alice, connectsMemoryAnd, peripherals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsMemoryAnd Context triple: [Alice, connectsMemoryAnd, peripherals]
-
A.
connectsPreviouslySeparateSystems
Indicates that an entity establishes a link or integration between systems that were previously independent or isolated from one another.
-
B.
connectsPartOf
Indicates a relationship where one entity serves to link or join a component to the larger whole of which that component is a part.
-
C.
connectsSystem
chosen
Indicates that one system establishes a link or interface with another system, enabling interaction or data exchange between them.
-
D.
connectsSectionsOf
Indicates a relationship where one entity serves as a link or bridge between two or more distinct sections of another entity or structure.
-
E.
connectsModule
Indicates a relationship where one module is linked or joined to another module to enable interaction or integration between them.
- 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: April 28, 2026, 5:05 p.m.