Triple
T1174048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peace Preservation Law of 1925 |
E24975
|
entity |
| Predicate | laterAmended |
P5571
|
FINISHED |
| Object | to increase maximum penalties |
—
|
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: to increase maximum penalties | Statement: [Peace Preservation Law of 1925, laterAmended, to increase maximum penalties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterAmended Context triple: [Peace Preservation Law of 1925, laterAmended, to increase maximum penalties]
-
A.
amendedBy
Indicates that one entity has been modified, revised, or updated as a result of changes made by another entity.
-
B.
partiallyAmendedBy
Indicates that an existing item (such as a document, law, or agreement) has been modified in part, but not completely replaced, by another item.
-
C.
hasAmendments
chosen
Indicates that one entity (such as a document, law, or agreement) includes or is associated with one or more modifications, changes, or additions made after its original creation.
-
D.
typeOfAmendment
Indicates the specific kind or category of amendment that is being applied to something, such as a document, law, or agreement.
-
E.
laterStatus
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd53e4b48190abb2167f8074a6bc |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5844348190b01ac6506906ba3b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.