Triple
T25298829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Festival |
E634290
|
entity |
| Predicate | isMainSeasonOf |
P144678
|
FINISHED |
| Object | Lucerne Festival annual cycle |
—
|
NE NERFINISHED |
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: Lucerne Festival annual cycle | Statement: [Summer Festival, isMainSeasonOf, Lucerne Festival annual cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainSeasonOf Context triple: [Summer Festival, isMainSeasonOf, Lucerne Festival annual cycle]
-
A.
isCrossoverSeasonOf
Indicates that a particular season of a series is a crossover season that combines or intertwines storylines, characters, or elements from multiple distinct series or franchises.
-
B.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
C.
isPopularSeason
Indicates that a particular season is widely liked, favored, or enjoyed by many people.
-
D.
hasPartOfSeason
Indicates that one season includes another season or a segment of a season as a constituent part.
-
E.
hasSeasonRelation
chosen
Indicates a relationship where one entity is associated with another through a specific season or seasonal context (e.g., occurring in, relevant to, or characteristic of that season).
- 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48fd5621481909935d022d9275194 |
completed | May 1, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:22 p.m.