Triple
T28606199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marco |
E724056
|
entity |
| Predicate | supportsThemeFormat |
P102477
|
FINISHED |
| Object | Metacity theme format |
—
|
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: Metacity theme format | Statement: [Marco, supportsThemeFormat, Metacity theme format]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsThemeFormat Context triple: [Marco, supportsThemeFormat, Metacity theme format]
-
A.
supportsThemingFormat
chosen
Indicates that an entity is compatible with and can correctly handle a particular theming format or style specification.
-
B.
supportsThemeOf
Indicates that one entity reinforces, aligns with, or contributes to the central theme expressed by another entity.
-
C.
supportsThemingSystem
Indicates that an entity is compatible with and can operate using a theming system for customizable appearance or style.
-
D.
supportsLibraryFormat
Indicates that one entity is capable of handling, using, or being compatible with a specified library format associated with another entity.
-
E.
supportsTextFormat
Indicates that one entity is capable of handling, rendering, or otherwise working with a specified text format.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a013a251b4081908b43d85dd95586c5 |
completed | May 11, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_6a0137e4ea988190812173a5ff044098 |
completed | May 11, 2026, 1:59 a.m. |
Created at: April 28, 2026, 4:27 a.m.