Triple
T7068431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U-Dub |
E164621
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | U-Dubs |
E164621
|
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: U-Dubs | Statement: [U-Dub, alsoKnownAs, U-Dubs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U-Dubs Context triple: [U-Dub, alsoKnownAs, U-Dubs]
-
A.
U-Dub
chosen
U-Dub is a common nickname for the University of Washington, a major public research university in Seattle known for its strong academic and athletic programs.
-
B.
The U's
The U's is the commonly used nickname for Cambridge United Football Club, an English professional football team based in Cambridge.
-
C.
DUB
DUB is the three-letter IATA airport code for Dublin Airport, the main international gateway to Dublin and the Republic of Ireland.
-
D.
Didube
Didube is a metro station in Tbilisi, Georgia, serving as a key transit hub that connects the city’s metro system with major bus and marshrutka routes to other regions.
-
E.
Uggams
Uggams is the surname of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a935488190a8c9c21bf30dd5d4 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7944fe5ec819098ff44e2872fc644 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:39 p.m.