Triple
T245565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poland |
E5029
|
entity |
| Predicate | NATOMemberState |
P5029
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Poland, NATOMemberState, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NATOMemberState Context triple: [Poland, NATOMemberState, true]
-
A.
hasMemberState
chosen
Indicates that an entity includes or comprises another entity as one of its constituent member states within a larger organizational or political structure.
-
B.
numberOfMemberStates
Indicates the total count of member states associated with a given entity or organization.
-
C.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
D.
hasMembersPerState
Indicates a relationship that specifies how many members are associated with each state.
-
E.
hasNonvotingMember
Indicates that an entity is associated with a member who participates in some capacity but does not possess formal voting rights in the relevant decision-making process.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d128c0081909908825b302ae635 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b63b0bc8190864d7324d339fb48 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.