Triple
T17557636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Community Cloud |
E427626
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Lightning templates |
—
|
NE NERFINISHED |
How this triple was built (3 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: Lightning templates | Statement: [Community Cloud, supports, Lightning templates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lightning templates Context triple: [Community Cloud, supports, Lightning templates]
-
A.
Lightning Fill in the Blank
Lightning Fill in the Blank is a fast-paced quiz segment on the NPR news comedy show "Wait Wait... Don't Tell Me!" in which panelists rapidly answer humorous current-events questions.
-
B.
Ember Lumen
Ember Lumen is the fiery, passionate protagonist of Pixar's animated film "Elemental," known for her strong will, quick temper, and journey toward self-discovery in a city where fire, water, air, and earth residents coexist.
-
C.
Lightning T.5
The Lightning T.5 is a two-seat trainer version of the English Electric Lightning supersonic interceptor aircraft, used primarily for advanced pilot instruction and conversion training.
-
D.
The Lightning I
The Lightning I is likely a specific component, project, or sub-unit within the larger entity referred to as "WE," distinguished enough to be identified as a distinct part of it.
-
E.
Lightning T.4
The Lightning T.4 is a two-seat trainer version of the British English Electric Lightning supersonic interceptor aircraft, used primarily for pilot instruction and conversion training.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lightning templates Target entity description: Lightning templates are prebuilt, customizable page and site layouts in Salesforce’s Lightning framework that let users quickly design and deploy modern, responsive experiences without extensive coding.
-
A.
Lightning Fill in the Blank
Lightning Fill in the Blank is a fast-paced quiz segment on the NPR news comedy show "Wait Wait... Don't Tell Me!" in which panelists rapidly answer humorous current-events questions.
-
B.
Ember Lumen
Ember Lumen is the fiery, passionate protagonist of Pixar's animated film "Elemental," known for her strong will, quick temper, and journey toward self-discovery in a city where fire, water, air, and earth residents coexist.
-
C.
Lightning T.5
The Lightning T.5 is a two-seat trainer version of the English Electric Lightning supersonic interceptor aircraft, used primarily for advanced pilot instruction and conversion training.
-
D.
The Lightning I
The Lightning I is likely a specific component, project, or sub-unit within the larger entity referred to as "WE," distinguished enough to be identified as a distinct part of it.
-
E.
Lightning T.4
The Lightning T.4 is a two-seat trainer version of the British English Electric Lightning supersonic interceptor aircraft, used primarily for pilot instruction and conversion training.
- F. None of above. chosen
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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562413d08190acaa5272046d3626 |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.