Triple
T6535570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wide Angle |
E152350
|
entity |
| Predicate | isSectionWithin |
P37078
|
FINISHED |
| Object | official program of Busan International Film 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: official program of Busan International Film Festival | Statement: [Wide Angle, isSectionWithin, official program of Busan International Film Festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSectionWithin Context triple: [Wide Angle, isSectionWithin, official program of Busan International Film Festival]
-
A.
isOnSectionOf
Indicates that one entity is located on, or positioned along, a specific segment or subsection of another entity.
-
B.
hasSectionIn
chosen
Indicates that one entity contains or includes another entity as a section or subdivision within it.
-
C.
isOpeningSectionOf
Indicates that one content segment functions as the initial or introductory section of another, larger work or structure.
-
D.
hasSectionOn
Indicates that one entity (typically a document or resource) contains a dedicated section or part that specifically addresses or discusses another entity or topic.
-
E.
appliesToSectionOf
Indicates that something is relevant or applicable specifically to a particular section or subsection of a larger whole.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adc238688190aca143b22b8a399c |
completed | March 27, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69c68abd9c7c819099e4fe8097cd1b28 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:46 p.m.