Triple
T38649703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State secretary of Austria |
E938806
|
entity |
| Predicate | pluralGermanName |
P191326
|
FINISHED |
| Object | Staatssekretäre |
—
|
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: Staatssekretäre | Statement: [State secretary of Austria, pluralGermanName, Staatssekretäre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pluralGermanName Context triple: [State secretary of Austria, pluralGermanName, Staatssekretäre]
-
A.
nameInGerman
Indicates that an entity is known or referred to by a specific name in the German language.
-
B.
abbreviationGerman
Indicates that one term is the German-language abbreviation or shortened form of another term.
-
C.
equivalentSurnameInGerman
Indicates that two surnames are equivalent to each other when translated into or represented in the German language.
-
D.
genderInGerman
Indicates that a given entity has a specified grammatical gender in the German language.
-
E.
germanPart
Indicates that one entity is a component, section, or segment that belongs to or forms part of something specifically in a German context (e.g., language, jurisdiction, or origin).
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdb0cf6008190b27046b694f84356 |
completed | May 7, 2026, 6:33 p.m. |
Created at: May 3, 2026, 4:32 p.m.