Triple
T4178667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veluws |
E86538
|
entity |
| Predicate | hasCodeIn |
P54244
|
FINISHED |
| Object | classified under Dutch Low Saxon in ISO 639-3 (nds-nl) |
—
|
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: classified under Dutch Low Saxon in ISO 639-3 (nds-nl) | Statement: [Veluws, hasCodeIn, classified under Dutch Low Saxon in ISO 639-3 (nds-nl)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCodeIn Context triple: [Veluws, hasCodeIn, classified under Dutch Low Saxon in ISO 639-3 (nds-nl)]
-
A.
hasCodeContext
Indicates that an entity is associated with or occurs within a particular programming or code-related context.
-
B.
hasProgramCode
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
-
C.
hasCodeLetters
Indicates that an entity is associated with, or represented by, a specific sequence of letters used as its code or identifier.
-
D.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
-
E.
hasFeatureCode
Indicates that an entity is associated with a specific feature identifier or code that characterizes one of its properties or attributes.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af07078cb081909f64326b12522410 |
completed | March 9, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69af019155448190b19868583272513f |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af07059d288190a1ea79449414fbce |
completed | March 9, 2026, 5:44 p.m. |
Created at: March 9, 2026, 3:45 p.m.