Triple
T17251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO |
E341
|
entity |
| Predicate | Article5Meaning |
P1134
|
FINISHED |
| Object | armed attack against one member is considered an attack against all |
—
|
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: armed attack against one member is considered an attack against all | Statement: [NATO, Article5Meaning, armed attack against one member is considered an attack against all]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Article5Meaning Context triple: [NATO, Article5Meaning, armed attack against one member is considered an attack against all]
-
A.
keyArticle
Indicates that an article is a primary or central reference for understanding, supporting, or defining another entity or topic.
-
B.
articleCount
Indicates the number of articles associated with a given entity or context.
-
C.
significance
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
D.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
E.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a242494a548190a5776fb6cad4d4af |
completed | Feb. 28, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69a23fedf0fc8190ad99bd1da297b14d |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a242489dbc819092c100d3fbf130ef |
completed | Feb. 28, 2026, 1:18 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.