Triple
T31848070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charm: Start |
E812991
|
entity |
| Predicate | visualPosition |
P9544
|
FINISHED |
| Object | center icon in Charms bar |
—
|
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: center icon in Charms bar | Statement: [Charm: Start, visualPosition, center icon in Charms bar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualPosition Context triple: [Charm: Start, visualPosition, center icon in Charms bar]
-
A.
visualCenterpiece
Indicates that one entity serves as the primary visual focus or dominant visual element in relation to another entity.
-
B.
verticalLocation
Indicates a vertical positional relationship where one entity is located above or below another along the up-down axis.
-
C.
focusPosition
Indicates the spatial or logical position at which attention, concentration, or processing is currently directed within a given context.
-
D.
locationOfVision
Indicates the place or setting where a vision or visual experience occurs or is perceived.
-
E.
positioning
chosen
Indicates the spatial or contextual arrangement of one entity relative to another or within a given environment.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 30, 2026, 11:50 p.m.