Triple
T34275036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwig II. von Ungarn und Böhmen |
E879428
|
entity |
| Predicate | NameInMuttersprache |
P29322
|
FINISHED |
| Object | Lajos II. |
—
|
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: Lajos II. | Statement: [Ludwig II. von Ungarn und Böhmen, NameInMuttersprache, Lajos II.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NameInMuttersprache Context triple: [Ludwig II. von Ungarn und Böhmen, NameInMuttersprache, Lajos II.]
-
A.
nameInGerman
Indicates that an entity is known or referred to by a specific name in the German language.
-
B.
languageOfNamesake
Indicates the language in which the namesake of an entity (such as a person, place, or object) is named or expressed.
-
C.
nameInOriginalLanguage
chosen
Indicates that an entity’s name is given in its original or native language form.
-
D.
nameInEsperanto
Indicates that an entity’s name is expressed in the Esperanto language.
-
E.
nameInYupikLanguages
Indicates that an entity has a specific name or designation when expressed in Yupik languages.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.