Triple
T9962016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Belgium |
E195590
|
entity |
| Predicate | hasEmoji |
P72365
|
FINISHED |
| Object | 🇧🇪 |
—
|
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: 🇧🇪 | Statement: [Flag of Belgium, hasEmoji, 🇧🇪]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmoji Context triple: [Flag of Belgium, hasEmoji, 🇧🇪]
-
A.
includesEmoji
chosen
Indicates that the related content contains at least one emoji character.
-
B.
addsEmoji
Indicates that one entity appends or includes an emoji in relation to another entity or piece of content.
-
C.
hasTypeOfEmotion
Indicates that an entity experiences, expresses, or is associated with a particular kind or category of emotion.
-
D.
hasSignatureSmile
Indicates that an entity is characterized by a distinctive or recognizable smile that serves as a notable or identifying feature.
-
E.
addsEmojiCharactersCount
Indicates that an action or process increases the number of emoji characters present in some content or text.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6d37f0c8190946b958c399f3250 |
completed | April 2, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9ae19c819099fb3635e57c79be |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:47 p.m.