Triple
T1935538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notification Center |
E41434
|
entity |
| Predicate | hasVisualIndicator |
P33695
|
FINISHED |
| Object | menu bar icon with bullet list symbol |
—
|
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: menu bar icon with bullet list symbol | Statement: [Notification Center, hasVisualIndicator, menu bar icon with bullet list symbol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualIndicator Context triple: [Notification Center, hasVisualIndicator, menu bar icon with bullet list symbol]
-
A.
hasIndication
Indicates that one entity (typically a product, treatment, or intervention) is intended, approved, or suitable for use in addressing, preventing, or managing a particular condition, purpose, or circumstance.
-
B.
hasIndicatorDimension
Indicates that an indicator is associated with a specific dimension or aspect along which it is measured or evaluated.
-
C.
usesIndicator
Indicates that one entity employs or relies on another entity as an indicator, signal, or metric for assessment, decision-making, or interpretation.
-
D.
indicatorType
Indicates the specific kind or category of indicator associated with an entity or relationship.
-
E.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29c7be08190986df157bf5d7c9e |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb25ef0ec8190b907963e9db0fe04 |
completed | March 7, 2026, 5:06 a.m. |
Created at: March 4, 2026, 7:35 p.m.