Triple
T12873302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extended Events |
E307901
|
entity |
| Predicate | hasCatalogView |
P107392
|
FINISHED |
| Object | sys.server_event_sessions |
—
|
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: sys.server_event_sessions | Statement: [Extended Events, hasCatalogView, sys.server_event_sessions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatalogView Context triple: [Extended Events, hasCatalogView, sys.server_event_sessions]
-
A.
hasCatalogueContext
Indicates that something is associated with, or occurs within, a specific catalogue-related context or framework.
-
B.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
-
C.
hasDiscoveryCatalog
Indicates that an entity is associated with a specific discovery catalog in which it is recorded or listed.
-
D.
belongsToCatalogOf
Indicates that one item is included within, or is a member of, a particular catalog or collection.
-
E.
hasOnlineCatalog
Indicates that an entity provides a catalog of its items or offerings that is accessible via the internet.
- F. None of above. chosen
Provenance (4 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97c7f91d08190aac2f6419d3ba992 |
completed | April 10, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69d96fa55b888190ab1612e93c41aec4 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d97c7d0598819080cab0a2314bc106 |
completed | April 10, 2026, 10:41 p.m. |
Created at: April 9, 2026, 5:38 p.m.