Triple
T4996884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Red |
E112268
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Glendale, Arizona |
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, Arizona | Statement: [Big Red, basedIn, Glendale, Arizona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glendale, Arizona Context triple: [Big Red, basedIn, Glendale, Arizona]
-
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.
Scottsdale, Arizona
Scottsdale, Arizona is a resort city in the Sonoran Desert near Phoenix, known for its upscale tourism, golf courses, and vibrant arts and nightlife scenes.
-
C.
Glendale
Glendale is a residential neighbourhood within the city of Pickering in Ontario, Canada.
-
D.
Glendale
Glendale is a primarily residential neighborhood in the central-southern part of Queens, New York City, known for its quiet streets, local shops, and proximity to major cemeteries and parks.
-
E.
Glendale
Glendale is a city in Arizona known for hosting major sporting and entertainment events, including NFL games and the Super Bowl.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72a130708190b9bc1393ba78bfb1 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfbd5d67c881909b57ead8968a840b |
completed | March 22, 2026, 9:58 a.m. |
Created at: March 20, 2026, 1:34 p.m.