Triple
T22731056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Term Auction Facility |
E562133
|
entity |
| Predicate | lendingChannel |
P149508
|
FINISHED |
| Object | discount window |
—
|
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: discount window | Statement: [Term Auction Facility, lendingChannel, discount window]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lendingChannel Context triple: [Term Auction Facility, lendingChannel, discount window]
-
A.
lendingArm
Indicates that one entity provides financial support or resources to another, typically in the form of a loan or credit.
-
B.
redemptionChannel
Indicates the method, medium, or route through which a benefit, reward, or entitlement can be redeemed or claimed.
-
C.
loanSource
Indicates that one entity is the origin or provider of a loan extended to another entity.
-
D.
lenderType
Indicates the classification or category of the lender involved in a lending relationship (e.g., bank, individual, institution).
-
E.
ownedChannel
Indicates that one entity possesses ownership or control over a particular channel.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792de040819093aa904bf751a788 |
completed | April 29, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:21 p.m.