Triple
T29469095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kira |
E747460
|
entity |
| Predicate | meaningInLanguage |
P171056
|
FINISHED |
| Object | in Russian, often considered a feminine form related to Kir or Cyrus |
—
|
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: in Russian, often considered a feminine form related to Kir or Cyrus | Statement: [Kira, meaningInLanguage, in Russian, often considered a feminine form related to Kir or Cyrus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningInLanguage Context triple: [Kira, meaningInLanguage, in Russian, often considered a feminine form related to Kir or Cyrus]
-
A.
meaningInGerman
Indicates that one entity expresses the meaning or translation of another entity in the German language.
-
B.
meaningInFinnish
Indicates that one entity expresses the meaning or translation of another entity in the Finnish language.
-
C.
meaningInArabic
Indicates that one entity expresses the meaning or translation of another entity in the Arabic language.
-
D.
meaningInSwedish
Indicates that one entity expresses the meaning or translation of another entity in the Swedish language.
-
E.
textMeaning
Indicates that one text expresses, conveys, or corresponds to a particular meaning or semantic content.
- F. None of above. chosen
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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f698ad83a08190a6834056ccc3e3a4 |
completed | May 3, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f697e92e2c8190bed50d5ba0981b64 |
completed | May 3, 2026, 12:33 a.m. |
Created at: April 28, 2026, 3:55 p.m.