Triple
T35045564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Politics of Portugal |
E1011184
|
entity |
| Predicate | natoMembership |
P3064
|
FINISHED |
| Object | NATO |
—
|
NE NERFINISHED |
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: NATO | Statement: [Politics of Portugal, natoMembership, NATO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natoMembership Context triple: [Politics of Portugal, natoMembership, NATO]
-
A.
isNATOAllyOf
chosen
Indicates that one entity is a member of NATO and has a formal alliance relationship with the other entity within the NATO framework.
-
B.
NATOAccessionYear
Indicates the year in which an entity formally became a member of NATO.
-
C.
hasParticipatingNATOAllies
Indicates that an entity is involved in an activity, operation, or arrangement together with one or more NATO member states as allies.
-
D.
majorNonNATOAlly
Indicates that one entity has designated the other as a major non-NATO ally, granting it a special security and defense cooperation status outside the NATO alliance.
-
E.
UnitedStatesMajorNonNATOAlly
Indicates that a country has been formally designated by the United States as a major non-NATO ally, granting it certain defense, security, and economic cooperation privileges without NATO membership.
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78596dbd881908ac257a644fac731 |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.