Triple
T34212031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vox organ |
E877680
|
entity |
| Predicate | electronicType |
P1482
|
FINISHED |
| Object | transistor-based organ |
—
|
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: transistor-based organ | Statement: [Vox organ, electronicType, transistor-based organ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electronicType Context triple: [Vox organ, electronicType, transistor-based organ]
-
A.
hardwareCategory
Indicates that an item belongs to or is classified under a specific hardware category or type.
-
B.
hasElectronicsFeature
Indicates that an entity possesses or is characterized by a specific electronic-related feature or capability.
-
C.
isMechanicalOrElectronic
Indicates that something operates using mechanical components, electronic components, or a combination of both.
-
D.
technologyType
chosen
Indicates the specific kind or category of technology associated with an entity or relationship.
-
E.
typicalGadgets
Indicates that the associated items are commonly used or standard gadgets typically found or expected in a given context.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff136ed2a881908f713401083970d1 |
completed | May 9, 2026, 10:58 a.m. |
| PD | Predicate disambiguation | batch_69ff10f9e3448190b6cb6ea5a67713c1 |
completed | May 9, 2026, 10:48 a.m. |
Created at: May 1, 2026, 1:55 a.m.