Triple
T18392765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svir locks |
E449777
|
entity |
| Predicate | hasOfficialNameLanguageCode |
P26955
|
FINISHED |
| Object | ru |
—
|
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: ru | Statement: [Svir locks, hasOfficialNameLanguageCode, ru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialNameLanguageCode Context triple: [Svir locks, hasOfficialNameLanguageCode, ru]
-
A.
hasLanguageOfOfficialName
chosen
Indicates that an entity’s official name is expressed in a specified language.
-
B.
hasOfficialNameInEnglish
Indicates that an entity has an officially recognized name expressed in the English language.
-
C.
hasOfficialNameInLatin
Indicates that an entity has an official or formally recognized name expressed in the Latin language.
-
D.
hasOfficialShortNameInEnglish
Indicates that an entity has a designated official short form of its name expressed in English.
-
E.
hasOfficialCountryLanguage
Indicates that a country recognizes a particular language as one of its official languages for governmental or legal purposes.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e518435cf481908393c1eb2b4ba659 |
completed | April 19, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.