Triple
T2449280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitution of Colombia |
E53663
|
entity |
| Predicate | amendmentMechanism |
P39925
|
FINISHED |
| Object | constitutional reform acts |
—
|
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: constitutional reform acts | Statement: [Constitution of Colombia, amendmentMechanism, constitutional reform acts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: amendmentMechanism Context triple: [Constitution of Colombia, amendmentMechanism, constitutional reform acts]
-
A.
typeOfAmendment
Indicates the specific kind or category of amendment that is being applied to something, such as a document, law, or agreement.
-
B.
proposedAmendment
Indicates that one entity has formally suggested a change or addition (an amendment) to another entity, such as a document, law, or agreement.
-
C.
legalAmendment
Indicates a formal change or modification made to an existing law, regulation, or legal document.
-
D.
hasAmendments
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.
-
E.
amendmentCount
Indicates the number of amendments that have been made to a given item, document, or entity.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:43 p.m.