Triple
T14052783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Specialized Training Program |
E338131
|
entity |
| Predicate | stageInCareerPath |
P9657
|
FINISHED |
| Object | early-career training for civil servants |
—
|
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: early-career training for civil servants | Statement: [Specialized Training Program, stageInCareerPath, early-career training for civil servants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageInCareerPath Context triple: [Specialized Training Program, stageInCareerPath, early-career training for civil servants]
-
A.
stageOf
chosen
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
-
B.
isStageInCareerOf
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
C.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
D.
partOfCareer
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
E.
stageName
Indicates that one entity is the performance or professional name used by 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8bc54c8190a12f0fc056568538 |
completed | April 14, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.