Triple
T22360561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Animal Welfare Act |
E552767
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | AWA |
—
|
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: AWA | Statement: [Animal Welfare Act, shortName, AWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWA Context triple: [Animal Welfare Act, shortName, AWA]
-
A.
AWA
chosen
AWA is the commonly used abbreviation for the Animal Welfare Act, the primary U.S. federal law regulating the treatment of animals in research, exhibition, transport, and by dealers.
-
B.
AAW
AAW is the ICAO airline designator assigned to Afriqiyah Airways, the Libyan national carrier based in Tripoli.
-
C.
AAWU
AAWU, short for the Athletic Association of Western Universities, was a former NCAA athletic conference that served as a predecessor to today’s Pac-12 Conference.
-
D.
AWAE
AWAE (Advanced Web Attacks and Exploitation) is an advanced web application penetration testing and exploitation course focused on teaching in-depth offensive security techniques to experienced security professionals.
-
E.
WAA
WAA is the acronym for the Winnipeg Airports Authority, the organization responsible for operating and managing Winnipeg’s airport facilities.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d3852c819082518851568e1b51 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.