Triple
T3456027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banesto |
E72905
|
entity |
| Predicate | sponsoredByFinancialInstitution |
P1010
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Banesto, sponsoredByFinancialInstitution, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsoredByFinancialInstitution Context triple: [Banesto, sponsoredByFinancialInstitution, true]
-
A.
hasFinancialInstitution
Indicates that one entity is associated with or linked to a financial institution, such as a bank or similar financial service provider.
-
B.
primaryInstitutionSupported
Indicates that one institution serves as the main or principal organization providing support to another entity.
-
C.
eligibleInstitution
Indicates that an institution satisfies specified criteria or requirements to qualify for a particular program, benefit, or status.
-
D.
hasBank
chosen
Indicates that one entity possesses, is associated with, or is served by a particular bank (such as a financial institution or river bank).
-
E.
isMajorInstitutionIn
Indicates that an institution is a primary or highly significant organization located within or associated with a particular place or region.
- F. None of above.
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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa77b9c81909376a5995cdaf6ac |
completed | March 8, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69adae041d588190a84a02bca94adec8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.