Triple
T32874012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Königinhof an der Elbe |
E840872
|
entity |
| Predicate | hasModernOfficialNameLanguage |
P90804
|
FINISHED |
| Object | Czech |
—
|
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: Czech | Statement: [Königinhof an der Elbe, hasModernOfficialNameLanguage, Czech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModernOfficialNameLanguage Context triple: [Königinhof an der Elbe, hasModernOfficialNameLanguage, Czech]
-
A.
hasModernNameLanguage
chosen
Indicates that the modern name of an entity is expressed in a particular language.
-
B.
hasModernName
Indicates that an entity is associated with its current or contemporary name, as opposed to an older or historical one.
-
C.
hasLanguageOfOfficialName
Indicates that an entity’s official name is expressed in a specified language.
-
D.
modernNameOfficial
Indicates that an entity’s current, formally recognized name is the one specified.
-
E.
formerOfficialNameLanguage
Indicates the language in which an entity’s former official name was expressed.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
Created at: May 1, 2026, 1:18 a.m.