Triple
T955998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | App Store |
E20626
|
entity |
| Predicate | categorySystem |
P6736
|
FINISHED |
| Object | app categories |
—
|
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: app categories | Statement: [App Store, categorySystem, app categories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categorySystem Context triple: [App Store, categorySystem, app categories]
-
A.
classificationSystem
chosen
Indicates a relationship where an entity is organized or categorized according to a particular classification scheme or taxonomy.
-
B.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
C.
classificationSystemName
Indicates the name or label assigned to a particular classification system used to categorize or organize entities.
-
D.
catalog
Indicates the action of systematically listing, organizing, or recording items or information into a structured collection or database.
-
E.
categoryStatus
Indicates the current state or condition assigned to a category within a given system or context.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3f981bc819098125554eeeb6375 |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a18ecc8190883f6206fe3b0fb6 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.