Triple
T52444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audion vacuum tube |
E1029
|
entity |
| Predicate | anodeFunction |
P3266
|
FINISHED |
| Object | collects electrons |
—
|
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: collects electrons | Statement: [Audion vacuum tube, anodeFunction, collects electrons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anodeFunction Context triple: [Audion vacuum tube, anodeFunction, collects electrons]
-
A.
secondaryFunction
Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
-
B.
separatedFunctionFrom
Indicates that one entity has been detached or removed from performing a particular function or role in relation to another entity.
-
C.
hasPrimaryFunction
Indicates that one entity serves as the main or principal function or role of another entity.
-
D.
near
Indicates that one entity is located at a short distance from another entity in space or position.
-
E.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24c709c248190bcd442c8d508e48c |
completed | Feb. 28, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69a24ac3c8dc819099849023bdaa35a9 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24c6ff0588190b0fd864da9aa8569 |
completed | Feb. 28, 2026, 2:01 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.