Triple
T16884144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montenegro and Serbia |
E421493
|
entity |
| Predicate | NATOMembershipStatus |
P18012
|
FINISHED |
| Object | Montenegro is NATO member, Serbia is not |
—
|
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: Montenegro is NATO member, Serbia is not | Statement: [Montenegro and Serbia, NATOMembershipStatus, Montenegro is NATO member, Serbia is not]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NATOMembershipStatus Context triple: [Montenegro and Serbia, NATOMembershipStatus, Montenegro is NATO member, Serbia is not]
-
A.
NATOMembershipSupport
Indicates support for a country’s membership or continued participation in the NATO alliance.
-
B.
NATOMembershipYear
Indicates the year in which an entity became a member of NATO.
-
C.
membershipStatus
chosen
Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
-
D.
NASLMembershipStatus
Indicates the membership status of an entity within the NASL organization, such as whether they are currently a member, former member, or non-member.
-
E.
membershipAsOf
Indicates that one entity is a member of another entity or group at a specific point in time or as of a given date.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbbf0cec819084216807601afad1 |
completed | April 18, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.