Triple
T16385546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Олександр Турчинов |
E397912
|
entity |
| Predicate | початокТермінуЯкГоловаВРУ |
P288
|
FINISHED |
| Object | 2014-02-22 |
—
|
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: 2014-02-22 | Statement: [Олександр Турчинов, початокТермінуЯкГоловаВРУ, 2014-02-22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: початокТермінуЯкГоловаВРУ Context triple: [Олександр Турчинов, початокТермінуЯкГоловаВРУ, 2014-02-22]
-
A.
firstTermStart
Indicates that an entity marks the starting point or initial term in an ordered sequence, period, or agreement.
-
B.
officeStartTime (Vice President of Russia)
Indicates the time at which the Vice President of Russia officially began their term in office.
-
C.
focusPeriodStart
Indicates the point in time at which a specified focus period or interval begins.
-
D.
startTime (Rector of Masaryk University)
Indicates the point in time at which a person began serving as Rector of Masaryk University.
-
E.
startDate
chosen
Indicates the point in time when an event, state, or relationship begins.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263c60088190b85a8c02bc3ef315 |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.