Triple
T28050997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunn diode |
E708818
|
entity |
| Predicate | requiresBiasCondition |
P149342
|
FINISHED |
| Object | high electric field across active region |
—
|
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: high electric field across active region | Statement: [Gunn diode, requiresBiasCondition, high electric field across active region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresBiasCondition Context triple: [Gunn diode, requiresBiasCondition, high electric field across active region]
-
A.
requiresBiasVoltage
chosen
Indicates that one entity must have a specific bias voltage applied in order for the other entity or process to operate correctly or as intended.
-
B.
equalityCondition
Indicates that two values, expressions, or attributes must be exactly the same for the condition to be satisfied.
-
C.
obligationCondition
Indicates that one situation or state serves as the condition under which an obligation for an entity becomes active or must be fulfilled.
-
D.
supportsCondition
Indicates that one entity helps maintain, enable, or is compatible with a particular condition or state in another entity.
-
E.
containsCondition
Indicates that one entity includes, embodies, or is associated with a particular condition.
- 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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 27, 2026, 8:33 p.m.