Triple
T29699133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crostini |
E751431
|
entity |
| Predicate | featureNameInUI |
P118490
|
FINISHED |
| Object | Linux development environment |
—
|
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: Linux development environment | Statement: [Crostini, featureNameInUI, Linux development environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureNameInUI Context triple: [Crostini, featureNameInUI, Linux development environment]
-
A.
featureDesignation
chosen
Indicates the specific label or name assigned to a feature to distinguish it from other features.
-
B.
featuresAlias
Indicates that one entity is used as an alternative name or label (an alias) for another entity.
-
C.
featuresMode
Indicates that one entity operates in, supports, or is characterized by a particular mode or configuration specified by another entity.
-
D.
impactFeatureName
Indicates that one entity has an effect on, or causes a change in, a specific feature or characteristic identified by name in another entity or context.
-
E.
featuresDemon
Indicates that an entity includes, depicts, or prominently involves a demon.
- 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_69ff90b673248190b4dda9e005642d17 |
completed | May 9, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69ff8d5bee1081909274052945e98a6f |
completed | May 9, 2026, 7:39 p.m. |
Created at: April 28, 2026, 7:22 p.m.