Triple
T19076722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omi Engel |
E466923
|
entity |
| Predicate | scriptLanguageUsed |
P131049
|
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: [Omi Engel, scriptLanguageUsed, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptLanguageUsed Context triple: [Omi Engel, scriptLanguageUsed, German]
-
A.
scriptUsedForLanguage
Indicates that a particular writing script is employed to write or represent a given language.
-
B.
scriptNameLanguage
Indicates that a script’s name is expressed or written in a particular language.
-
C.
scriptVariantLanguage
Indicates that a language is a variant distinguished by its writing system or script from another, related language form.
-
D.
usesScriptingLanguage
chosen
Indicates that an entity employs a scripting language to perform its operations, configuration, or automation tasks.
-
E.
programLanguage
Indicates that an entity is implemented, written, or expressed using a particular programming 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e49c7c8190b6ce7b918086b23c |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.