Triple
T29699010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Termina VM |
E751428
|
entity |
| Predicate | bootstrappedBy |
P160600
|
FINISHED |
| Object | ChromeOS system services |
—
|
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: ChromeOS system services | Statement: [Termina VM, bootstrappedBy, ChromeOS system services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bootstrappedBy Context triple: [Termina VM, bootstrappedBy, ChromeOS system services]
-
A.
bootstrappingMethod
Indicates the method or procedure used to initialize, estimate, or iteratively improve a system, model, or process from minimal starting information.
-
B.
builtThrough
chosen
Indicates that something was created, developed, or achieved by means of a specified method, process, or intermediary.
-
C.
stabilizedBy
Indicates that an entity’s state, structure, or behavior is made more steady, secure, or resistant to change through the influence or support of another entity.
-
D.
builtFrom
Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
-
E.
previouslyPopulatedBy
Indicates that an entity was formerly inhabited, occupied, or filled by another entity at some time in the past.
- 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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672b30ed88190bef8e60e45b01dd7 |
completed | May 2, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:22 p.m.