Triple
T14421905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Chat |
E357603
|
entity |
| Predicate | messageHighlightMechanism |
P3362
|
FINISHED |
| Object | color highlighting |
—
|
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: color highlighting | Statement: [Super Chat, messageHighlightMechanism, color highlighting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messageHighlightMechanism Context triple: [Super Chat, messageHighlightMechanism, color highlighting]
-
A.
highlightsSign
Indicates that one entity visually emphasizes or draws special attention to a sign.
-
B.
highlightsAttributeOf
Indicates that one entity draws attention to, emphasizes, or showcases a particular attribute or property of another entity.
-
C.
isMajorHighlightOf
Indicates that something serves as a primary or especially notable feature, event, or focal point within a larger context or whole.
-
D.
highlights
chosen
Indicates that one entity draws special attention to, emphasizes, or visually marks another entity as important or noteworthy.
-
E.
hasHighlightGoal
Indicates that an entity has a primary or emphasized goal that is singled out as especially important or noteworthy.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91102c3c81908f571a1fff3bdd47 |
completed | April 14, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.