Triple
T122554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Android |
E2480
|
entity |
| Predicate | sourceModel |
P409
|
FINISHED |
| Object | open source with proprietary components |
—
|
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: open source with proprietary components | Statement: [Android, sourceModel, open source with proprietary components]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceModel Context triple: [Android, sourceModel, open source with proprietary components]
-
A.
dataModel
Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
-
B.
source
chosen
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
C.
notableModel
Indicates that an entity is a particularly important, influential, or exemplary instance or version within a broader category or system.
-
D.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
E.
sourceRegion
Indicates the geographic or spatial region from which something originates or is derived.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a2573b4e7481909ee09d2899f8a74b |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564928208190966a619680a0d6e2 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.