Triple
T7002225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CH-LU |
E162362
|
entity |
| Predicate | codeStructureExplanation |
P28140
|
FINISHED |
| Object | two-letter country code plus two-letter subdivision code |
—
|
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: two-letter country code plus two-letter subdivision code | Statement: [CH-LU, codeStructureExplanation, two-letter country code plus two-letter subdivision code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeStructureExplanation Context triple: [CH-LU, codeStructureExplanation, two-letter country code plus two-letter subdivision code]
-
A.
programStructure
Indicates how components, modules, or elements are organized and related within a program or system.
-
B.
encodingStructure
chosen
Indicates the structural scheme or format used to encode information or data.
-
C.
internalStructure
Indicates that one entity is a component, part, or substructure contained within the overall structure of another entity.
-
D.
codeSection
Indicates a specific segment or subsection within a larger body of code that is distinguished for reference, organization, or analysis.
-
E.
displayStructure
Indicates that one entity presents or reveals the internal organization, layout, or arrangement of another entity.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc1115c48190a9363473ae21b6c1 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.