Triple
T22813421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tailwind CSS |
E565040
|
entity |
| Predicate | programmingLanguage |
P1592
|
FINISHED |
| Object | CSS |
—
|
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: CSS | Statement: [Tailwind CSS, programmingLanguage, CSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSS Context triple: [Tailwind CSS, programmingLanguage, CSS]
-
A.
CSS
CSS is a professional society within the IEEE focused on the theory, design, and application of control systems in engineering and related fields.
-
B.
CSS
chosen
CSS (Cascading Style Sheets) is a style sheet language used to control the presentation and layout of web pages written in HTML or XML.
-
C.
CSS
CSS is the commonly used abbreviation for the South American Health Council, a regional body focused on coordinating public health policies among South American nations.
-
D.
CSS
CSS is a U.S. cryptologic organization that partners with the National Security Agency to coordinate signals intelligence and information assurance activities across the armed forces.
-
E.
CSS
CSS is the commonly used abbreviation for Charlestown Secondary School, an educational institution likely serving secondary-level students in Charlestown.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d61c6f081908d3911710b3aff51 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.