Triple
T28900197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DIN 41612 |
E732931
|
entity |
| Predicate | hasMountingStyle |
P188426
|
FINISHED |
| Object | male backplane connector |
—
|
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: male backplane connector | Statement: [DIN 41612, hasMountingStyle, male backplane connector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMountingStyle Context triple: [DIN 41612, hasMountingStyle, male backplane connector]
-
A.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
B.
hasSystemStyle
Indicates that one entity is associated with, or characterized by, a particular system-defined style of another entity.
-
C.
hasPowerStyle
Indicates that one entity possesses or exhibits a particular style or manner of using power in relation to another entity or context.
-
D.
hasStationStyle
Indicates that one entity (typically a station) possesses or is characterized by a particular architectural or design style.
-
E.
hasHigherStyleThan
Indicates that one entity’s style is considered superior or more fashionable than another’s.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba789c1188190973a919bfe2871f3 |
completed | May 6, 2026, 8:41 p.m. |
Created at: April 28, 2026, 8:02 a.m.