Triple
T19467054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cybele stage |
E487026
|
entity |
| Predicate | relatedFestivalGenre |
P123104
|
FINISHED |
| Object | jazz festival |
—
|
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: jazz festival | Statement: [Cybele stage, relatedFestivalGenre, jazz festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedFestivalGenre Context triple: [Cybele stage, relatedFestivalGenre, jazz festival]
-
A.
relatedFestivalType
Indicates that one festival is associated with another through a shared or corresponding festival type or category.
-
B.
linkedFestival
Indicates that two entities are associated through a common festival, event, or celebration.
-
C.
hasFestivalGenre
Indicates that a festival is associated with or categorized under a particular genre.
-
D.
linksFestivalTo
chosen
Indicates that one entity is associated with, connected to, or participates in a particular festival.
-
E.
peerFestival
Indicates that two festivals are considered peers, sharing a comparable status, scale, or role within a given 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e2aee081908330a5665fa60482 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.