Triple
T21587031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitbit Pay |
E532676
|
entity |
| Predicate | supportsNetwork |
P203
|
FINISHED |
| Object | Discover (selected regions) |
—
|
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: Discover (selected regions) | Statement: [Fitbit Pay, supportsNetwork, Discover (selected regions)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Discover (selected regions) Context triple: [Fitbit Pay, supportsNetwork, Discover (selected regions)]
-
A.
Discover
Discover is Snapchat’s curated content platform that showcases stories, news, and entertainment from publishers, creators, and brands.
-
B.
Discover
chosen
Discover is a major U.S.-based financial services company best known for its Discover credit card network and related banking products.
-
C.
Explora
Explora is an interactive science center and children’s museum known for its hands-on exhibits that encourage playful learning in science, technology, engineering, and art.
-
D.
World Discovery
World Discovery is a themed land in EPCOT at Walt Disney World focused on science, technology, and futuristic exploration attractions.
-
E.
Ici Explora
Ici Explora is a Canadian French-language specialty television channel focused on documentaries and factual programming about science, nature, environment, and health.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb6137fc8190840b7c1275e62a1d |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 16, 2026, 6:31 p.m.