Triple
T16808030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Web Animations |
E408528
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | CSS Animations |
E86126
|
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: CSS Animations | Statement: [Web Animations, integratesWith, CSS Animations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSS Animations Context triple: [Web Animations, integratesWith, CSS Animations]
-
A.
CSS Animations Module
chosen
The CSS Animations Module is a W3C specification that defines how to animate CSS properties over time using keyframes and related animation features on the web.
-
B.
Web Animations
Web Animations is a web platform API that provides a unified, scriptable model for creating, controlling, and synchronizing animations in the browser.
-
C.
CSS Transitions Module
The CSS Transitions Module is a W3C specification that defines how CSS property changes can be smoothly animated over time using declarative transition rules.
-
D.
CSS
CSS is a professional society within the IEEE focused on the theory, design, and application of control systems in engineering and related fields.
-
E.
CSS
CSS is Pakistan’s highly competitive federal civil service examination system used to recruit officers for various government ministries and departments.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cde590819080dc474292b023ee |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28f125481909664363904f4c031 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:22 a.m.