Triple
T22675076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commercial Paper Funding Facility |
E560323
|
entity |
| Predicate | backstopType |
P84001
|
FINISHED |
| Object | liquidity backstop |
—
|
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: liquidity backstop | Statement: [Commercial Paper Funding Facility, backstopType, liquidity backstop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backstopType Context triple: [Commercial Paper Funding Facility, backstopType, liquidity backstop]
-
A.
backType
chosen
Indicates the type or category of a backing or support associated with an entity.
-
B.
typicalSetbackTypes
Indicates the kinds or categories of setbacks that are commonly associated with or experienced in relation to a given entity or situation.
-
C.
backing
Indicates providing support, endorsement, or financial/resources assistance to someone or something, often enabling or strengthening their actions or position.
-
D.
backDescription
Indicates that an entity provides a description or textual information specifically about the back side or rear view of another entity.
-
E.
backsUp
Indicates that one entity provides support, reinforcement, or confirmation for another entity’s actions, statements, or position.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17823bd1881908958b0a8ba59e199 |
completed | April 29, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:11 p.m.