Triple
T11115408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USB Type-A |
E262872
|
entity |
| Predicate | matingCycles |
P97016
|
FINISHED |
| Object | at least 1500 insertions for USB 2.0 |
—
|
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: at least 1500 insertions for USB 2.0 | Statement: [USB Type-A, matingCycles, at least 1500 insertions for USB 2.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matingCycles Context triple: [USB Type-A, matingCycles, at least 1500 insertions for USB 2.0]
-
A.
reproductionSeason
Indicates the time period or season during which an organism typically engages in reproductive activity.
-
B.
reproductiveBehavior
Indicates the actions, strategies, and interactions involved in an organism’s mating and reproduction processes.
-
C.
breedingInterval
Indicates the typical time period that elapses between successive breeding or reproductive events for an organism.
-
D.
reproductiveMaturityAge
Indicates the age at which an organism reaches reproductive maturity and can successfully reproduce.
-
E.
reproductionType
Indicates the mode or method by which an organism reproduces or generates offspring.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa7254c8190abce35696ad2be03 |
completed | April 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750cb26f48190a134614d0aa8e283 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.