Triple
T28642822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister of Serbia and Montenegro |
E724972
|
entity |
| Predicate | stateUnionMembers |
P9085
|
FINISHED |
| Object | Republic of Serbia |
—
|
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: Republic of Serbia | Statement: [Prime Minister of Serbia and Montenegro, stateUnionMembers, Republic of Serbia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateUnionMembers Context triple: [Prime Minister of Serbia and Montenegro, stateUnionMembers, Republic of Serbia]
-
A.
memberStatesType
Indicates that an entity is classified as a type or category of member states within a larger organization or grouping.
-
B.
stateFederation
Indicates that a state is a member of, or participates in, a larger federal union or federation.
-
C.
memberStatesOrganization
chosen
Indicates that an organization is composed of, or includes as members, the specified states.
-
D.
memberStatesRepresented
Indicates that certain member states are officially represented or have representation within a given body, context, or arrangement.
-
E.
memberStatesRegion
Indicates that a region is composed of, or includes, the specified member states as its constituent parts.
- 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_69f01d8423888190bd2f4e52605bf261 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 28, 2026, 4:46 a.m.