Triple
T5867492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IMG Academy Bradenton |
E130431
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Bradenton |
E216136
|
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: Bradenton | Statement: [IMG Academy Bradenton, city, Bradenton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bradenton Context triple: [IMG Academy Bradenton, city, Bradenton]
-
A.
Bradenton
chosen
Bradenton is a city on Florida’s Gulf Coast known for its waterfront location along the Manatee River and proximity to popular beaches and the Sarasota–Bradenton metropolitan area.
-
B.
Bonita Springs
Bonita Springs is a coastal city in southwest Florida known for its Gulf beaches, parks, and resort communities.
-
C.
Hernando
Hernando is the Spanish form of the given name Ferdinand, historically borne by several notable figures including explorers and monarchs.
-
D.
Cape Coral
Cape Coral is a rapidly growing coastal city in southwest Florida known for its extensive canal system and waterfront living.
-
E.
Pasco
Pasco is a city in southeastern Washington State that forms part of the Tri-Cities region along with Kennewick and Richland.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035c27e708190b46c707d61c78877 |
completed | March 22, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1d0c5a88190be8dee862e71a0f6 |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:56 p.m.