Triple
T30436103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unicode 11.0 |
E774315
|
entity |
| Predicate | newEmojiCharactersAdded |
P47138
|
FINISHED |
| Object | 66 |
—
|
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: 66 | Statement: [Unicode 11.0, newEmojiCharactersAdded, 66]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: newEmojiCharactersAdded Context triple: [Unicode 11.0, newEmojiCharactersAdded, 66]
-
A.
addsEmoji
Indicates that one entity appends or includes an emoji in relation to another entity or piece of content.
-
B.
addsEmojiCharactersCount
chosen
Indicates that an action or process increases the number of emoji characters present in some content or text.
-
C.
includesEmoji
Indicates that the related content contains at least one emoji character.
-
D.
hasEmote
Indicates that an entity expresses or is associated with a particular emotion or emotive expression.
-
E.
addsEmojiSequencesCount
Indicates that an entity increases the number of emoji sequences associated with another entity or context.
- 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68694ff888190b85abd31df01a71c |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:07 p.m.