Triple
T1720118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long-Term Servicing Channel |
E37369
|
entity |
| Predicate | updateTypeFocus |
P31
|
FINISHED |
| Object | security and quality fixes |
—
|
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: security and quality fixes | Statement: [Long-Term Servicing Channel, updateTypeFocus, security and quality fixes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: updateTypeFocus Context triple: [Long-Term Servicing Channel, updateTypeFocus, security and quality fixes]
-
A.
upgradeFocus
Indicates a shift of attention or priority from a lower level or version to a higher, improved, or more advanced one.
-
B.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
C.
mayProvideFocus
Indicates that one entity can potentially direct attention, emphasis, or concentration toward another entity or aspect.
-
D.
officeTypeChange
Indicates a change in the designated type or classification of an office from one category to another.
-
E.
functionChange
Indicates that an entity’s function, role, or operational behavior has been altered from one state or purpose to another.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.