Triple
T12548543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PW |
E300034
|
entity |
| Predicate | associatedUNMembership |
P644
|
FINISHED |
| Object | Member state of the United Nations |
—
|
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: Member state of the United Nations | Statement: [PW, associatedUNMembership, Member state of the United Nations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedUNMembership Context triple: [PW, associatedUNMembership, Member state of the United Nations]
-
A.
shareUNMembership
Indicates that the entities are both member states of the United Nations at the same time.
-
B.
UNMemberState
chosen
Indicates that a country is a recognized member state of the United Nations.
-
C.
dateOfUNMembership
Indicates the specific date on which an entity officially became a member of the United Nations.
-
D.
recognizedByUNAsPartOf
Indicates that an entity is officially acknowledged or accepted by the United Nations as belonging to, or constituting a component of, another specified entity or grouping.
-
E.
joinedUNTogetherWith
Indicates that one entity became a member of or affiliated with the University of North Texas together with another entity, at the same time or as part of the same event.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:58 p.m.