Triple
T21218611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tromøya |
E522902
|
entity |
| Predicate | HoveFestivalActiveYears |
P143245
|
FINISHED |
| Object | mid-2000s to early 2010s |
—
|
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: mid-2000s to early 2010s | Statement: [Tromøya, HoveFestivalActiveYears, mid-2000s to early 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HoveFestivalActiveYears Context triple: [Tromøya, HoveFestivalActiveYears, mid-2000s to early 2010s]
-
A.
hostedEventYear
Indicates the specific year in which an entity hosted a particular event.
-
B.
hasJazzFestivalSince
Indicates that a location or entity has hosted or held a jazz festival continuously since a specified starting date or year.
-
C.
festivalFoundedIn
Indicates that a festival was established or created in a specific year or time period.
-
D.
festivalEditionYear
Indicates the specific calendar year in which a particular edition of a recurring festival takes place.
-
E.
festivalHeldIn
Indicates that a festival takes place or is hosted at a specific location or venue.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7347613308190a1c9f4ea51591d4b |
completed | April 21, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:42 p.m.