Triple
T24958091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolaevna |
E624529
|
entity |
| Predicate | writingInRussian |
P20560
|
FINISHED |
| Object | Николаевна |
—
|
NE NERFINISHED |
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: Николаевна | Statement: [Nikolaevna, writingInRussian, Николаевна]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingInRussian Context triple: [Nikolaevna, writingInRussian, Николаевна]
-
A.
inscriptionTextRussian
Indicates that the associated inscription or written text is expressed in the Russian language.
-
B.
hasRussianVersion
Indicates that something has a corresponding version or counterpart that is in the Russian language.
-
C.
writtenIn
Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
-
D.
nameInRussian
chosen
Indicates that an entity is known or referred to by a specific name when expressed in the Russian language.
-
E.
currentlyWrittenIn
Indicates that a work or document is, at the present time, expressed or composed in a particular language or writing system.
- 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_69f42405074c8190b7f54f985fcf5963 |
completed | May 1, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:58 a.m.