Triple
T7066306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Brussels |
E164360
|
entity |
| Predicate | amendmentEffect |
P774
|
FINISHED |
| Object | creation of Western European Union |
—
|
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: creation of Western European Union | Statement: [Treaty of Brussels, amendmentEffect, creation of Western European Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: amendmentEffect Context triple: [Treaty of Brussels, amendmentEffect, creation of Western European Union]
-
A.
effectOfAmendments
chosen
Indicates the causal impact or consequences that specific amendments have on something, such as a law, document, or situation.
-
B.
legalAmendment
Indicates a formal change or modification made to an existing law, regulation, or legal document.
-
C.
typeOfAmendment
Indicates the specific kind or category of amendment that is being applied to something, such as a document, law, or agreement.
-
D.
isAmendmentTo
Indicates that one item formally modifies, revises, or adds to the content or terms of another item.
-
E.
proposedAmendment
Indicates that one entity has formally suggested a change or addition (an amendment) to another entity, such as a document, law, or agreement.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a4e7188190aef123ff1a2aa473 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:39 p.m.