Triple
T7857634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logical Awesome LLC |
E182416
|
entity |
| Predicate | hasCoreTechnologyInProduct |
P6774
|
FINISHED |
| Object | Git repositories |
—
|
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: Git repositories | Statement: [Logical Awesome LLC, hasCoreTechnologyInProduct, Git repositories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoreTechnologyInProduct Context triple: [Logical Awesome LLC, hasCoreTechnologyInProduct, Git repositories]
-
A.
hasCore
Indicates that one entity possesses, contains, or is built around a central or most essential component represented by another entity.
-
B.
hasCoreUnit
Indicates that an entity includes or is composed around a primary, central, or fundamental unit.
-
C.
hasCoreFacility
Indicates that an entity possesses, hosts, or is equipped with a central, shared facility that supports key operations or services.
-
D.
technologicalFeature
chosen
Indicates that one entity possesses, exhibits, or is characterized by a specific technological capability, component, or functionality in relation to another entity.
-
E.
hasMicrocontrollerCore
Indicates that one entity incorporates or contains a microcontroller core as part of its internal components or architecture.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a76f8648190976b488d0d8658ef |
completed | March 31, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:52 p.m.