Triple
T3325539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statement on Monetary Policy |
E69905
|
entity |
| Predicate | madeAvailableAs |
P1395
|
FINISHED |
| Object | PDF document |
—
|
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: PDF document | Statement: [Statement on Monetary Policy, madeAvailableAs, PDF document]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeAvailableAs Context triple: [Statement on Monetary Policy, madeAvailableAs, PDF document]
-
A.
availableAs
chosen
Indicates that one entity can be used, accessed, or offered in the form, role, or capacity of another entity.
-
B.
availableWith
Indicates that one entity can be obtained, accessed, or used in conjunction with another entity.
-
C.
isUsedAs
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
D.
appearsAs
Indicates that one entity is presented, perceived, or manifested in the form, role, or guise of another entity.
-
E.
madeBy
Indicates that something is created, produced, or brought into existence by a particular agent or source.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb16ca13c8190aea8caed8ccd9b88 |
completed | March 8, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.