Triple
T29181884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Address Generator Unit |
E739764
|
entity |
| Predicate | usedInChipset |
P84346
|
FINISHED |
| Object | OCS |
—
|
NE NERFINISHED |
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: OCS | Statement: [Address Generator Unit, usedInChipset, OCS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInChipset Context triple: [Address Generator Unit, usedInChipset, OCS]
-
A.
usedWithChipsetsFrom
Indicates that something is designed or suitable to be used together with specific chipsets from a given manufacturer or family.
-
B.
hasOnChip
Indicates that one component or system includes another component integrated directly onto the same chip or integrated circuit.
-
C.
usedInDeviceModel
Indicates that something (such as a component, material, or technology) is utilized within or incorporated into a particular device model.
-
D.
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.
-
E.
chipsetComponent
chosen
Indicates that one entity is a hardware component that forms part of, or is integrated into, a particular chipset.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 28, 2026, 11:57 a.m.