Triple
T30842570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Merit of the Czech Republic |
E785551
|
entity |
| Predicate | typicalAwardDateContext |
P5189
|
FINISHED |
| Object | Czech Statehood Day |
E91988
|
NE 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: Czech Statehood Day | Statement: [Order of Merit of the Czech Republic, typicalAwardDateContext, Czech Statehood Day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAwardDateContext Context triple: [Order of Merit of the Czech Republic, typicalAwardDateContext, Czech Statehood Day]
-
A.
typicalAwardDate
chosen
Indicates the date on which an award is customarily or normally given or conferred.
-
B.
typicalAwardYearPattern
Indicates the usual or standard pattern in which award years are assigned or distributed for a given award.
-
C.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
-
D.
awardedDate
Indicates the date on which an award, prize, or honor was formally given to an entity.
-
E.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
- F. None of above.
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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28bbf4e3e081908eb74bac55d221ab |
completed | June 10, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:45 p.m.