Triple
T28642839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister of Serbia and Montenegro |
E724972
|
entity |
| Predicate | stateUnionType |
P56700
|
FINISHED |
| Object | confederal-style union |
—
|
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: confederal-style union | Statement: [Prime Minister of Serbia and Montenegro, stateUnionType, confederal-style union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateUnionType Context triple: [Prime Minister of Serbia and Montenegro, stateUnionType, confederal-style union]
-
A.
stateFederation
Indicates that a state is a member of, or participates in, a larger federal union or federation.
-
B.
statusInUnion
Indicates the specific role, standing, or membership condition an entity holds within a larger union or collective group.
-
C.
provinceType
Indicates the classification or category of a province, specifying what type of administrative or territorial unit it is.
-
D.
statusOfUnion
chosen
Indicates the current legal or formal state of a union or partnership between entities.
-
E.
stateUnit
Indicates a relationship where one entity is a constituent administrative or organizational unit within a larger state or state-like structure.
- 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_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 28, 2026, 4:46 a.m.