Triple
T2979647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | µA741 |
E80479
|
entity |
| Predicate | hasPowerSupplyType |
P44389
|
FINISHED |
| Object | dual supply |
—
|
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: dual supply | Statement: [µA741, hasPowerSupplyType, dual supply]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPowerSupplyType Context triple: [µA741, hasPowerSupplyType, dual supply]
-
A.
hasPowerSource
Indicates that an entity derives its operational energy or functionality from a specified power source.
-
B.
hasPowerRegulator
Indicates that an entity is equipped with or connected to a power regulator component that controls or stabilizes its electrical power.
-
C.
suppliesPowerTo
Indicates that one entity provides electrical or energy power required for the operation or functioning of another entity.
-
D.
powerSupplyLocation
Indicates the physical place or component where an entity’s electrical power is provided or connected.
-
E.
powerStatus
Indicates whether an entity is currently powered on, off, or in another defined power state.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999cca40819082e2d6d10bdb7872 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f5d28c8190899d90204dc43428 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:58 p.m.