Triple
T27729759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mango Loco |
E697398
|
entity |
| Predicate | canDesignFeature |
P163522
|
FINISHED |
| Object | colorful artwork |
—
|
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: colorful artwork | Statement: [Mango Loco, canDesignFeature, colorful artwork]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canDesignFeature Context triple: [Mango Loco, canDesignFeature, colorful artwork]
-
A.
designedFeature
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
B.
testedDesignFeature
Indicates that a specific design feature has been subjected to a test or evaluation process.
-
C.
usedDesignFeature
Indicates that one entity employed or incorporated a particular design feature in its creation, implementation, or functionality.
-
D.
canDesignTheme
Indicates that an entity has the capability or permission to create or customize a visual or stylistic theme for another entity or system.
-
E.
featureDesigner
Indicates that a person serves as the designer responsible for creating or specifying a particular feature.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6397b64f881909d811225e57aac5e |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 3:11 p.m.