Triple
T18610997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICL 2900 series |
E454892
|
entity |
| Predicate | hardwareImplementation |
P132774
|
FINISHED |
| Object | discrete logic (early models) |
—
|
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: discrete logic (early models) | Statement: [ICL 2900 series, hardwareImplementation, discrete logic (early models)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hardwareImplementation Context triple: [ICL 2900 series, hardwareImplementation, discrete logic (early models)]
-
A.
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.
-
B.
hardwareComponent
Indicates that one entity is a physical hardware part or module that is contained in, attached to, or functionally part of another hardware system or device.
-
C.
circuitDesigner
Indicates that an entity is responsible for designing or creating electronic circuits for another entity or system.
-
D.
hardwarePlatformFor
Indicates that one entity serves as the hardware platform on which another entity is designed to run or be deployed.
-
E.
softwareModel
Indicates that one entity serves as a software-based representation or abstraction (a model) of another entity or system.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d013748819099126e27e7ec543d |
completed | April 19, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:45 a.m.