Triple
T35953154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resolution Trust Corporation |
E1039783
|
entity |
| Predicate | handledInstitutionType |
P184271
|
FINISHED |
| Object | savings and loan association |
—
|
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: savings and loan association | Statement: [Resolution Trust Corporation, handledInstitutionType, savings and loan association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handledInstitutionType Context triple: [Resolution Trust Corporation, handledInstitutionType, savings and loan association]
-
A.
insuredInstitutionType
Indicates the type or category of institution that is covered under an insurance arrangement or policy.
-
B.
hasFinancialInstitution
Indicates that one entity is associated with or linked to a financial institution, such as a bank or similar financial service provider.
-
C.
beneficiaryInstitutionType
Indicates the type or category of institution that receives the benefit from the related action or arrangement.
-
D.
operatedByInstitutionType
Indicates that an entity is run, managed, or controlled by an institution of a specified type (e.g., government, private, nonprofit).
-
E.
hasPrimaryInstitutionType
Indicates that an entity’s main or principal institutional classification or category is of a specified type.
- F. None of above. chosen
Provenance (4 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7ac2210e481909279dade5328825c |
completed | May 3, 2026, 8:12 p.m. |
Created at: May 3, 2026, 4:07 p.m.