Triple
T26513476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cypriots |
E669749
|
entity |
| Predicate | UNMembershipContext |
P160806
|
FINISHED |
| Object | citizens of a UN member state (Cyprus) |
—
|
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: citizens of a UN member state (Cyprus) | Statement: [Cypriots, UNMembershipContext, citizens of a UN member state (Cyprus)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNMembershipContext Context triple: [Cypriots, UNMembershipContext, citizens of a UN member state (Cyprus)]
-
A.
UNMembershipSupport
Indicates support for a country’s admission to, or continued membership in, the United Nations.
-
B.
UNMembershipStart
Indicates the date on which an entity first became a member of the United Nations.
-
C.
UEFAMembership
Indicates that an entity holds membership or affiliation status within the UEFA organization.
-
D.
EUMembershipContext
Indicates the contextual relationship in which an entity’s status, actions, or attributes are evaluated specifically in terms of membership in the European Union.
-
E.
unitContext
Indicates the contextual framework or setting (such as scope, conditions, or environment) within which a particular unit, instance, or occurrence is defined or interpreted.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61394b50c81909e628b2e5b1aa3d5 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f604120e848190b516c29b781d19cc |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 27, 2026, 1:22 a.m.