Triple
T16259109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UWA |
E394706
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UWA |
E394706
|
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: UWA | Statement: [UWA, abbreviation, UWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UWA Context triple: [UWA, abbreviation, UWA]
-
A.
UWA
chosen
UWA is a leading Australian public research university based in Perth, known for its strong academic programs and sandstone campus.
-
B.
UWA
UWA is a regional public university in Livingston, Alabama, known for its programs in education, liberal arts, and natural sciences.
-
C.
UWA
UWA is the acronym for the Uganda Wildlife Authority, the government agency responsible for managing and conserving Uganda’s wildlife and protected areas.
-
D.
UW
UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
-
E.
UW
UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c3082c8190a1c9f92b255fdbb6 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000eee110c819088d99b80435ab70b |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.