Triple
T20978352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIES |
E516684
|
entity |
| Predicate | technologyAgnostic |
P142335
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [MIES, technologyAgnostic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: technologyAgnostic Context triple: [MIES, technologyAgnostic, true]
-
A.
technologyType
Indicates the specific kind or category of technology associated with an entity or relationship.
-
B.
technologyIncludes
Indicates that one technology encompasses, contains, or incorporates another technology as part of its components, features, or implementation.
-
C.
technologyBasis
Indicates that one entity is founded on, enabled by, or fundamentally relies upon the technology provided or represented by another entity.
-
D.
technologyName
Indicates the specific name or designation of a technology associated with an entity.
-
E.
technologyClass
Indicates the classification or category of technology to which an entity belongs.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba65b0881908bc00981053edb68 |
completed | April 21, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:47 p.m.