Triple
T1893556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arm Ltd. (acquisition attempt – terminated) |
E41925
|
entity |
| Predicate | technologyRelevance |
P19268
|
FINISHED |
| Object | smartphone processors |
—
|
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: smartphone processors | Statement: [Arm Ltd. (acquisition attempt – terminated), technologyRelevance, smartphone processors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: technologyRelevance Context triple: [Arm Ltd. (acquisition attempt – terminated), technologyRelevance, smartphone processors]
-
A.
technologyTrend
Indicates a relationship where a technology is characterized as part of a broader pattern of change or direction in technological development over time.
-
B.
technologyLevel
Indicates the degree of technological advancement or sophistication associated with an entity relative to others or to a defined scale.
-
C.
technologyType
Indicates the specific kind or category of technology associated with an entity or relationship.
-
D.
technologyField
chosen
Indicates the area or domain of technology in which an entity is involved, specialized, or categorized.
-
E.
technologyTrackExample
Indicates a relationship where one entity serves as an example or instance of a particular technology track associated with another entity.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1497df08190ad90dd89f76208ca |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe7e7e88190b58c0df59187c0c2 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.