Triple
T6111744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everett |
E136257
|
entity |
| Predicate | hasArena |
P105
|
FINISHED |
| Object | Angel of the Winds Arena |
E185877
|
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: Angel of the Winds Arena | Statement: [Everett, hasArena, Angel of the Winds Arena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angel of the Winds Arena Context triple: [Everett, hasArena, Angel of the Winds Arena]
-
A.
Angel of the Winds Arena
chosen
Angel of the Winds Arena is a multi-purpose indoor sports and entertainment venue located in Everett, Washington.
-
B.
Artland Arena
Artland Arena is a multi-purpose indoor sports and events venue located in Quakenbrück, Germany.
-
C.
Bender Arena
Bender Arena is a multi-purpose indoor sports and events venue located on the campus of American University in Washington, D.C.
-
D.
White Ring Arena
White Ring Arena is a prominent indoor sports and events venue in Nagano, Japan, best known for hosting figure skating and short track speed skating during the 1998 Winter Olympics.
-
E.
Agganis Arena
Agganis Arena is a multi-purpose sports and entertainment venue in Boston, Massachusetts, best known as the home rink of Boston University’s hockey programs.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbbbea88190b889a7c30af1d71a |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125631e008190921206b9e355202b |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.