Triple
T15147513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR-42 |
E361851
|
entity |
| Predicate | codeElementFor |
P117503
|
FINISHED |
| Object | subdivision of Greece |
—
|
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: subdivision of Greece | Statement: [GR-42, codeElementFor, subdivision of Greece]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeElementFor Context triple: [GR-42, codeElementFor, subdivision of Greece]
-
A.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
-
B.
definesElement
Indicates that one entity specifies or determines the nature, structure, or identity of another entity as its defining element.
-
C.
codeComponent1
Indicates that one entity is a specific code component (such as a function, class, or module) within a software system.
-
D.
codeForLanguage
Indicates that a piece of code is written in, or intended to be executed by, a particular programming or markup language.
-
E.
symbolElement
Indicates that one entity is a constituent element or component that makes up the other entity, which is treated as a symbol.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c825a481909d00098b0e743365 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:07 a.m.