Triple
T18676607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | consolidated obligations of the Federal Home Loan Banks |
E456617
|
entity |
| Predicate | haveMaturityRange |
P15878
|
FINISHED |
| Object | short-term |
—
|
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: short-term | Statement: [consolidated obligations of the Federal Home Loan Banks, haveMaturityRange, short-term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveMaturityRange Context triple: [consolidated obligations of the Federal Home Loan Banks, haveMaturityRange, short-term]
-
A.
maturityRange
chosen
Indicates the span or limits of maturity (such as age, development stage, or readiness) within which the related entities or conditions are considered applicable.
-
B.
hasMaturity
Indicates that an entity possesses a specified level, state, or stage of development or maturity.
-
C.
mustBeMaturedIn
Indicates that something is required to undergo a maturation process within a specified context, condition, or environment before it is considered ready or valid.
-
D.
hasMaturityType
Indicates that an entity is associated with a specific type or category of maturity it possesses or reaches.
-
E.
maturesIn
Indicates that an entity reaches full development, ripeness, or maturity within a specified time period or under certain conditions.
- 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.