Triple
T26105250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rome |
E658518
|
entity |
| Predicate | chipletDesign |
P159950
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rome, chipletDesign, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chipletDesign Context triple: [Rome, chipletDesign, true]
-
A.
chipset
Indicates that one entity is the chipset (or is associated with the chipset) used by, contained in, or otherwise functionally related to another entity.
-
B.
hardwareDesign
Indicates a relationship where one entity is responsible for creating, specifying, or engineering the physical components and architecture of another entity’s hardware system.
-
C.
chipsetComponent
Indicates that one entity is a hardware component that forms part of, or is integrated into, a particular chipset.
-
D.
interconnectTechnology
Indicates a relationship where different technologies are linked or integrated so they can work together or share information.
-
E.
microarchitectureClass
Indicates that one entity is classified as a specific type or category of microarchitecture relative to another 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60775b298819095c64aca6806d61c |
completed | May 2, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 26, 2026, 7:58 p.m.