Triple
T31557348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapid Security Response |
E805163
|
entity |
| Predicate | targetComponent |
P186459
|
FINISHED |
| Object | WebKit |
—
|
NE NERFINISHED |
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: WebKit | Statement: [Rapid Security Response, targetComponent, WebKit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetComponent Context triple: [Rapid Security Response, targetComponent, WebKit]
-
A.
targetsComponent
chosen
Indicates that one entity is specifically directed at, aimed at, or intended to affect a particular component of another entity or system.
-
B.
otherComponentOf
Indicates that one entity is a different part or member of the same larger whole or system as another entity.
-
C.
component1
Indicates that one entity functions as a constituent or part of another entity within a larger whole.
-
D.
componentElement
Indicates that one entity is a constituent or part of another, larger entity or structure.
-
E.
targetElement
Indicates that one entity is the specific object, item, or element that another entity is directed at, refers to, or operates upon.
- 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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: April 30, 2026, 10:13 p.m.