Triple
T28218400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Stud Farm Kladruby nad Labem |
E711381
|
entity |
| Predicate | foundedAsStudFarm |
P184592
|
FINISHED |
| Object | 16th century |
—
|
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: 16th century | Statement: [National Stud Farm Kladruby nad Labem, foundedAsStudFarm, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsStudFarm Context triple: [National Stud Farm Kladruby nad Labem, foundedAsStudFarm, 16th century]
-
A.
foundedAsUniversityIn
Indicates that an institution was originally established as a university in a specific year or time period.
-
B.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
-
C.
foundedAsStateStud
Indicates that an institution or organization was originally established as a state-run or state-designated educational institution.
-
D.
universityFoundedAs
Indicates the original form, name, or type under which a university was first established.
-
E.
servesAsFarmSystemFor
Indicates that one entity functions as a developmental or feeder system that supplies trained or prepared resources (such as players, talent, or products) to another entity.
- F. None of above. chosen
Provenance (4 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f7b365288c8190bcb11fcfba028737 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2f2b9ac8190aa05b8a1aa18ec2d |
completed | May 3, 2026, 8:41 p.m. |
Created at: April 27, 2026, 10:44 p.m.