Triple
T7033750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flex |
E163328
|
entity |
| Predicate | supportsDeployment |
P203
|
FINISHED |
| Object | SWF |
E163327
|
NE 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: SWF | Statement: [Flex, supportsDeployment, SWF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SWF Context triple: [Flex, supportsDeployment, SWF]
-
A.
SWF
SWF is the IATA airport code for Stewart International Airport, a public airport located near Newburgh in New York's Hudson Valley.
-
B.
Flash
Flash is the nickname of Dwyane Wade, the explosive Hall of Fame shooting guard best known for leading the Miami Heat to multiple NBA championships.
-
C.
Flash
Flash is the Golden Eagles' mascot character, typically depicted as a spirited and energetic golden eagle representing the team.
-
D.
Flash (software)
Flash (software) is a now-discontinued multimedia platform used for creating and displaying interactive web content, animations, and browser-based games and applications.
-
E.
Flash Video
chosen
Flash Video is a digital video format used primarily for delivering streaming video content over the web via Adobe Flash Player.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e2118fc88190a0751ca18eafb4a5 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7759c8e408190a7d457e77a44ee26 |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:36 p.m.