Triple
T16216989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsesarevich |
E393617
|
entity |
| Predicate | scriptOfNativeName |
P63723
|
FINISHED |
| Object | Cyrillic |
—
|
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: Cyrillic | Statement: [Tsesarevich, scriptOfNativeName, Cyrillic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptOfNativeName Context triple: [Tsesarevich, scriptOfNativeName, Cyrillic]
-
A.
nativeNameScript
chosen
Indicates the writing system or script in which an entity’s native name is expressed.
-
B.
scriptOfOfficialNames
Indicates the writing system or script in which the official names of entities are expressed.
-
C.
acronymOfNativeName
Indicates that one term is an acronym formed from the native-language version of another name.
-
D.
nativeOf
Indicates that an entity originates from or was born in a particular place, region, or country.
-
E.
institutionNativeName
Indicates that an institution is associated with its official or commonly used name in the institution’s original or local language.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f660708190b6581ecfe218a15c |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.