Triple
T29951688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurin & Klement Voiturette A |
E760783
|
entity |
| Predicate | successorStateCountry |
P14948
|
FINISHED |
| Object | Czech Republic |
—
|
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: Czech Republic | Statement: [Laurin & Klement Voiturette A, successorStateCountry, Czech Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorStateCountry Context triple: [Laurin & Klement Voiturette A, successorStateCountry, Czech Republic]
-
A.
currentCountryOfSuccessor
Indicates the country in which a given successor (e.g., to a position, title, or role) is currently serving or recognized.
-
B.
successorCountryCode
Indicates that one country’s code represents the state that legally or historically succeeds another country’s code.
-
C.
successorInCountry
Indicates that one entity takes over a role, position, or function from another entity within the same country.
-
D.
successorProvinceOrState
Indicates that one province or state has officially replaced or continued the role of another as its successor.
-
E.
countrySucceededBy
chosen
Indicates that one country is the direct successor state that replaces or follows another country in sovereignty or political continuity.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 29, 2026, 6:26 p.m.