Triple
T10329583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acid2 |
E242841
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Acid2 test |
E242841
|
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: Acid2 test | Statement: [Acid2, name, Acid2 test]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acid2 test Context triple: [Acid2, name, Acid2 test]
-
A.
Acid2 test
chosen
The Acid2 test is a web standards compliance test designed to reveal flaws in web browser rendering engines by using a complex, precisely specified visual layout.
-
B.
Acid3 test
The Acid3 test is a web browser benchmark designed to check compliance with web standards, particularly those related to the Document Object Model (DOM), JavaScript, and rendering.
-
C.
Acid2
Acid2 is a web browser test created to check standards compliance in CSS and HTML rendering engines.
-
D.
Acid3
Acid3 is a web standards compliance test designed to assess how well web browsers handle modern web technologies like DOM, JavaScript, and CSS.
-
E.
The Acid Test
The Acid Test is a contemporary stage play, best known for featuring actress Lydia Wilson in a prominent role.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cfd54c8190b6f88598339536d1 |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71db4a8dc81909adb2a044e74fd6b |
completed | April 9, 2026, 3:32 a.m. |
Created at: April 6, 2026, 11:52 a.m.