Triple
T18676602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | consolidated obligations of the Federal Home Loan Banks |
E456617
|
entity |
| Predicate | typicallyHave |
P124802
|
FINISHED |
| Object | high credit ratings |
—
|
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: high credit ratings | Statement: [consolidated obligations of the Federal Home Loan Banks, typicallyHave, high credit ratings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallyHave Context triple: [consolidated obligations of the Federal Home Loan Banks, typicallyHave, high credit ratings]
-
A.
typicallyHolds
Indicates that a certain relationship or condition generally holds true in typical or normal situations, though not necessarily in all cases.
-
B.
oftenHave
chosen
Indicates that one entity frequently possesses, experiences, or is associated with another entity.
-
C.
typicallyContain
Indicates that one entity is normally or commonly found within, included in, or held by another entity under usual circumstances.
-
D.
typicallyCovers
Indicates that one entity is the kind of thing that usually or normally includes, addresses, or encompasses another entity.
-
E.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b5a52c81908a71ac86544fb6aa |
completed | April 19, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.