Triple
T12200917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faithfully |
E290705
|
entity |
| Predicate | isPopularAt |
P104296
|
FINISHED |
| Object | weddings |
—
|
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: weddings | Statement: [Faithfully, isPopularAt, weddings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPopularAt Context triple: [Faithfully, isPopularAt, weddings]
-
A.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
-
B.
isPopularOnSocialMedia
Indicates that an entity is widely followed, frequently engaged with, or broadly recognized across social media platforms.
-
C.
hasPopularityCharacteristic
Indicates that an entity possesses a particular attribute or quality related to its level or type of popularity.
-
D.
isPopularInSeason
Indicates that something tends to be widely favored, used, or in high demand during a particular season.
-
E.
hasPopularityInfluencedBy
Indicates that the popularity level of one entity is affected or shaped by another specified factor or entity.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d938ca32908190bd56f563efcbe8a0 |
completed | April 10, 2026, 5:52 p.m. |
Created at: April 8, 2026, 9:50 p.m.