Triple
T37480428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 6 January Dictatorship |
E931396
|
entity |
| Predicate | previousNameOfState |
P99710
|
FINISHED |
| Object | Kingdom of Serbs, Croats and Slovenes |
—
|
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: Kingdom of Serbs, Croats and Slovenes | Statement: [6 January Dictatorship, previousNameOfState, Kingdom of Serbs, Croats and Slovenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousNameOfState Context triple: [6 January Dictatorship, previousNameOfState, Kingdom of Serbs, Croats and Slovenes]
-
A.
formerStateName
Indicates that an entity previously had a particular state name before changing to a different one.
-
B.
formerNameOfProvince
Indicates that one name was previously used as the official name of a province before being replaced by another name.
-
C.
previousNameOfCountry
Indicates that one country name was formerly used as the official name of another country.
-
D.
previousStateName
chosen
Indicates the name of the state that immediately preceded the current state in a process or state transition.
-
E.
formerNameOfJurisdiction
Indicates that one jurisdiction previously had a different official name, which is given by the related entity.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
Created at: May 3, 2026, 4:17 p.m.