Triple
T24286080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Documentary section of Busan International Film Festival |
E605672
|
entity |
| Predicate | parentFestivalCountry |
P105213
|
FINISHED |
| Object | South Korea |
—
|
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: South Korea | Statement: [Documentary section of Busan International Film Festival, parentFestivalCountry, South Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentFestivalCountry Context triple: [Documentary section of Busan International Film Festival, parentFestivalCountry, South Korea]
-
A.
festivalCountry
chosen
Indicates the country in which a given festival takes place or is held.
-
B.
hasParentFestival
Indicates that a festival is part of, or derived from, a larger or primary festival that serves as its parent.
-
C.
organizerCountry
Indicates the country that serves as the organizer or host for an event, activity, or initiative.
-
D.
countryOfShow
Indicates that a show is associated with, produced in, or originates from a particular country.
-
E.
parentCountryOfOrigin
Indicates that one country is the original source or homeland from which another country historically emerged or originated.
- 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f5605f081908367bd08ab1ec9ab |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:08 a.m.