Triple
T31178882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free State (1920–1924) |
E794832
|
entity |
| Predicate | hadMinorityGroup |
P149948
|
FINISHED |
| Object | Hungarians |
—
|
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: Hungarians | Statement: [Free State (1920–1924), hadMinorityGroup, Hungarians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadMinorityGroup Context triple: [Free State (1920–1924), hadMinorityGroup, Hungarians]
-
A.
hasMinorityIn
Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
-
B.
minorityGroups
chosen
Indicates that the subject is classified as belonging to one or more groups that are numerically, politically, or socially underrepresented or disadvantaged within a larger population.
-
C.
hasMinorityBranch
Indicates that one entity possesses or controls a branch or subsidiary in which it holds a minority (less than controlling) ownership or interest.
-
D.
representsMinorityGroup
Indicates that the subject belongs to or characterizes a group that is numerically, socially, or politically in the minority within a larger population or context.
-
E.
minority
Indicates that one entity belongs to a smaller, less represented, or non-dominant group within a larger population or context.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:08 p.m.