Triple
T13888917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LBSNAA |
E333918
|
entity |
| Predicate | primaryProgramme |
P73687
|
FINISHED |
| Object | Foundation Course for civil service probationers |
—
|
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: Foundation Course for civil service probationers | Statement: [LBSNAA, primaryProgramme, Foundation Course for civil service probationers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryProgramme Context triple: [LBSNAA, primaryProgramme, Foundation Course for civil service probationers]
-
A.
primaryProgram
chosen
Indicates that one entity serves as the main or principal program associated with another entity, distinguishing it from any secondary or auxiliary programs.
-
B.
primaryProgramming
Indicates that one entity serves as the main or most important programming or coding language, tool, or environment used by another entity.
-
C.
primarySchool
Indicates that one entity serves as the primary (elementary) school attended by, associated with, or designated for the other entity.
-
D.
primaryClass
Indicates that one entity is the main or principal classification category to which another entity belongs.
-
E.
adoptedProgramme
Indicates that an entity has formally accepted and put into practice a specific programme or plan.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a281e481908a6184bcd7f59c03 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:15 p.m.