Triple
T25425871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socket 7 |
E637113
|
entity |
| Predicate | supportsDualVoltageCPUs |
P175943
|
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: [Socket 7, supportsDualVoltageCPUs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDualVoltageCPUs Context triple: [Socket 7, supportsDualVoltageCPUs, true]
-
A.
supportsDualProcessors
Indicates that an entity is capable of operating with or accommodating two processors simultaneously.
-
B.
storesMultipleVoltageLevels
Indicates that an entity is capable of holding or maintaining more than one distinct voltage level simultaneously or over time.
-
C.
supportsDualSIM
Indicates that one entity provides or enables the use of two SIM cards simultaneously or interchangeably in another entity.
-
D.
coreVoltage
Indicates the electrical potential difference supplied to the core component of a device or system.
-
E.
supportsMultipleBatteryCapacities
Indicates that something is designed to work with or accommodate more than one distinct battery capacity option.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db1bc348819097c844f76e2fa4fe |
completed | May 3, 2026, 5:20 a.m. |
Created at: April 21, 2026, 1:57 p.m.