Triple
T1444674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clean Air Act |
E31150
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CAA |
E31150
|
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: CAA | Statement: [Clean Air Act, abbreviation, CAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAA Context triple: [Clean Air Act, abbreviation, CAA]
-
A.
CAA
chosen
CAA is the commonly used abbreviation for the U.S. Clean Air Act, a landmark federal law regulating air emissions to protect public health and the environment.
-
B.
CAA
CAA is a leading professional organization in the United States dedicated to advancing the history, practice, and teaching of the visual arts and design.
-
C.
CAA
CAA is a collegiate athletic conference in the United States that sponsors competition in numerous NCAA Division I sports.
-
D.
ACA
ACA is the common abbreviation for the Affordable Care Act, a major U.S. health care reform law enacted in 2010 to expand insurance coverage and consumer protections.
-
E.
ACA
ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5353fdc819090481cbdd1162929 |
completed | March 1, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08c046b08190a448ba2549dc5e00 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 8 p.m.