Triple
T2509699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chase Field |
E52671
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Chase Bank |
E256833
|
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: Chase Bank | Statement: [Chase Field, sponsor, Chase Bank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chase Bank Context triple: [Chase Field, sponsor, Chase Bank]
-
A.
Chase Bank
chosen
Chase Bank is a major U.S. consumer and commercial banking institution operated by JPMorgan Chase, offering a wide range of financial products and services nationwide.
-
B.
Citibank
Citibank is a major global banking and financial services institution headquartered in the United States, known for its extensive international retail and corporate banking operations.
-
C.
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.
-
D.
Wells Fargo
Wells Fargo is a large American multinational financial services company and one of the biggest banks in the United States.
-
E.
U.S. Bank
U.S. Bank is a major American financial services company and one of the largest commercial banks in the United States.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1ed94a08190a172a426c2123f36 |
completed | March 7, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b8fa0d88190bc153a460091bcf1 |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:46 p.m.