Triple
T16355170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Community Investment Program |
E397157
|
entity |
| Predicate | isAvailableTo |
P50639
|
FINISHED |
| Object | member banks |
—
|
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: member banks | Statement: [Community Investment Program, isAvailableTo, member banks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAvailableTo Context triple: [Community Investment Program, isAvailableTo, member banks]
-
A.
availableAs
Indicates that one entity can be used, accessed, or offered in the form, role, or capacity of another entity.
-
B.
availableFor
chosen
Indicates that one entity can be used, accessed, or allocated for the benefit, purpose, or use of another entity.
-
C.
availableWith
Indicates that one entity can be obtained, accessed, or used in conjunction with another entity.
-
D.
isSuitableFor
Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
-
E.
isFreeToUse
Indicates that something can be used without cost, restriction, or required permission.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2face3a54819099418edd0eecc963 |
completed | April 18, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.