Triple
T21264902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frequency Division Duplex |
E524099
|
entity |
| Predicate | contrastsInResourceSeparationWith |
P32726
|
FINISHED |
| Object | time separation in TDD |
—
|
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: time separation in TDD | Statement: [Frequency Division Duplex, contrastsInResourceSeparationWith, time separation in TDD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contrastsInResourceSeparationWith Context triple: [Frequency Division Duplex, contrastsInResourceSeparationWith, time separation in TDD]
-
A.
usesResourceSeparation
Indicates that one entity applies or enforces a separation of resources between entities or processes, preventing them from sharing or interfering with each other’s resources.
-
B.
exploresContrastBetween
chosen
Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
-
C.
typeOfSeparation
Indicates the specific manner or category of separation that exists or occurred between entities.
-
D.
definedSeparationFrom
Indicates a formally specified distinction or boundary established between one entity and another.
-
E.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735ea74e0819099d724de95996c90 |
completed | April 21, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 4 p.m.