Triple
T8344373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FirstBank Stadium |
E195997
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | FirstBank |
E730337
|
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: FirstBank | Statement: [FirstBank Stadium, sponsor, FirstBank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FirstBank Context triple: [FirstBank Stadium, sponsor, FirstBank]
-
A.
FirstBank
chosen
FirstBank is a financial institution whose naming rights sponsorship extends to major venues such as FirstBank Stadium.
-
B.
Orange Bank
Orange Bank is a French mobile-first digital bank offering online banking and financial services under the Orange telecommunications brand.
-
C.
First National Bank
First National Bank is a major South African financial institution offering a wide range of banking and financial services to individuals and businesses.
-
D.
First National Bank
First National Bank is a historic American banking institution whose name has been used for prominent landmark buildings such as the iconic tower in St. Paul, Minnesota.
-
E.
Comerica Bank
Comerica Bank is a large U.S. financial services company headquartered in Dallas, Texas, known for its commercial banking, wealth management, and retail banking operations.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fed6b588190ba5593859c8effc2 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce029282988190ae1bf71302284029 |
completed | April 2, 2026, 5:45 a.m. |
Created at: March 30, 2026, 5:58 p.m.