Triple
T19692276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VaultPress |
E472862
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Jetpack |
—
|
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: Jetpack | Statement: [VaultPress, integratesWith, Jetpack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jetpack Context triple: [VaultPress, integratesWith, Jetpack]
-
A.
Jetpack
chosen
Jetpack is a popular WordPress plugin and service suite that provides security, performance optimization, and site management tools for WordPress websites.
-
B.
Sunday Morning Jetpack
"Sunday Morning Jetpack" is a reflective, nostalgia-themed track by Big Sean from his album *I Decided.* that focuses on gratitude and personal growth.
-
C.
Jetpac
Jetpac is a classic 1983 space-themed action game by Ultimate Play the Game, known for its simple yet challenging jetpack-and-laser gameplay on alien planets.
-
D.
Rocket Jockey
Rocket Jockey is a classic mid-20th-century young adult science fiction novel by Lester del Rey, centered on high-speed rocket racing and adventure in the Solar System.
-
E.
Jetline
Jetline is a steel roller coaster located at the Gröna Lund amusement park in Stockholm, Sweden, known for its compact, twisting layout.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64210cddc8190836faa2996a44457 |
completed | April 20, 2026, 3:11 p.m. |
Created at: April 10, 2026, 1:46 p.m.