Triple
T34549840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colegio Alemán Alexander von Humboldt |
E887030
|
entity |
| Predicate | hasBilingualProgram |
P71934
|
FINISHED |
| Object | German-Spanish |
—
|
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-Spanish | Statement: [Colegio Alemán Alexander von Humboldt, hasBilingualProgram, German-Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBilingualProgram Context triple: [Colegio Alemán Alexander von Humboldt, hasBilingualProgram, German-Spanish]
-
A.
isBilingual
Indicates that an entity is able to communicate fluently in two distinct languages.
-
B.
usesBilingualInstruction
chosen
Indicates that an entity employs two languages as the medium of instruction within an educational or communicative context.
-
C.
isBilingualRegion
Indicates that a region officially uses two languages or has two predominant languages in regular use.
-
D.
hasBilingualVersions
Indicates that something exists in two different language versions or forms.
-
E.
hasEnglishComponent
Indicates that something includes or is associated with a component that is in the English language.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 1, 2026, 2:02 a.m.