Triple
T38276667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prospekt Engelsa |
E1021977
|
entity |
| Predicate | hasNamedForNationality |
P17299
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Prospekt Engelsa, hasNamedForNationality, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamedForNationality Context triple: [Prospekt Engelsa, hasNamedForNationality, German]
-
A.
namedForNationality
chosen
Indicates that something is named after or in reference to a particular nationality or national identity.
-
B.
isByNationality
Indicates that one entity has a specified nationality or originates from the country represented by the other entity.
-
C.
hasNameUsageCountry
Indicates that a particular name is used or recognized within a specified country.
-
D.
hasNotableVersionByNationality
Indicates that an entity has a notable version or variant that is specifically associated with a particular nationality.
-
E.
hasNationalityRecord
Indicates that there exists an official record documenting an entity's nationality or national affiliation.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffcf46fd688190907fd1ceb499a8d1 |
completed | May 10, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69ffccde2a8c81908e055e74077dbd19 |
completed | May 10, 2026, 12:10 a.m. |
Created at: May 3, 2026, 4:30 p.m.