Triple
T4649362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XFP |
E102253
|
entity |
| Predicate | isPluggable |
P10793
|
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: [XFP, isPluggable, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPluggable Context triple: [XFP, isPluggable, true]
-
A.
isHotPluggable
chosen
Indicates that a device or component can be connected to or disconnected from a system while it is powered on and operating, without requiring a shutdown or restart.
-
B.
isModular
Indicates that something is composed of distinct, interchangeable parts or units that can be independently created, modified, or replaced within a larger whole.
-
C.
hasPlugin
Indicates that one entity includes, uses, or is extended by a plugin provided by another entity.
-
D.
supportsPlugAndPlayLikeConfiguration
Indicates that one entity enables another to be configured in a plug-and-play–like manner, requiring minimal manual setup or integration effort.
-
E.
canBeAdaptedBy
Indicates that one entity is capable of being modified, adjusted, or tailored for use by another entity.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.