Triple
T24959564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiev offensive (1920) |
E624568
|
entity |
| Predicate | dateOfCaptureOfKyiv |
P10180
|
FINISHED |
| Object | 1920-05-07 |
—
|
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: 1920-05-07 | Statement: [Kiev offensive (1920), dateOfCaptureOfKyiv, 1920-05-07]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfCaptureOfKyiv Context triple: [Kiev offensive (1920), dateOfCaptureOfKyiv, 1920-05-07]
-
A.
dateOfCityCapture
chosen
Indicates the specific date on which a city was taken or captured, typically in a military or political context.
-
B.
dateOfUkrainianEntryIntoKherson
Indicates the date on which Ukrainian forces entered and took control of Kherson.
-
C.
invasionDate
Indicates the date on which an invasion event occurred or began.
-
D.
dateOfCityEncirclement
Indicates the date on which a city became fully encircled, typically by military or blockade forces, cutting it off from external access.
-
E.
dateOfAssaultByRedArmy
Indicates the date on which an assault was carried out by the Red Army against the referenced target or 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:58 a.m.