Triple
T260667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XLIX |
E5533
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Glendale |
E25946
|
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: Glendale | Statement: [Super Bowl XLIX, city, Glendale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glendale Context triple: [Super Bowl XLIX, city, Glendale]
-
A.
Glendale, Arizona
chosen
Glendale, Arizona is a major suburb of Phoenix known for its sports and entertainment district, including professional stadiums, shopping, and annual events.
-
B.
Palmdale, California
Palmdale, California is a high-desert city in northern Los Angeles County known for its major aerospace industry presence and proximity to Edwards Air Force Base.
-
C.
Pasadena
Pasadena is a city in Los Angeles County, California, known for its scientific and cultural institutions and as the longtime host of the annual Rose Parade and Rose Bowl Game.
-
D.
Oxnard, California
Oxnard, California is a coastal city in Ventura County known for its agriculture, beaches, and role as a gateway to the Channel Islands.
-
E.
Irvine
Irvine is a master-planned city in Orange County, California, known for its affluent residential communities, strong public schools, and concentration of technology and education industries.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d72dad4819092c9502e6e4edc44 |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4239b5dfc8190930c379823e42139 |
completed | March 1, 2026, 11:31 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.