Triple
T7002224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CH-LU |
E162362
|
entity |
| Predicate | hasCodeStructure |
P54244
|
FINISHED |
| Object | CC-SS |
—
|
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: CC-SS | Statement: [CH-LU, hasCodeStructure, CC-SS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCodeStructure Context triple: [CH-LU, hasCodeStructure, CC-SS]
-
A.
hasCodeIn
chosen
Indicates that one entity is represented, defined, or implemented within the codebase or coding context of another entity.
-
B.
hasCommandStructure
Indicates that one entity possesses an organized hierarchy of authority or control that governs another entity or set of entities.
-
C.
hasCodeContext
Indicates that an entity is associated with or occurs within a particular programming or code-related context.
-
D.
hasProgramCode
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
-
E.
hasServiceStructure
Indicates that one entity provides, contains, or is associated with a particular service-related structure or organizational framework for delivering a service.
- 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.